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WIMI.US develops a hybrid structure of a distributed image storage protocol for image storage.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001g10e?from=finance
March 13, 2023
In recent years, with the rapid development of blockchain technology applications, more and more application scenarios have begun to use distributed ledgers to store and verify data. In terms of image storage, traditional centralized storage methods may have some security and reliability issues, so the distributed pool blockchain protocol can be an effective solution. WIMI (NASDAQ: WIMI) has developed a Distributed Image Storage Protocol (DISP) for image storage, and uses the Interplanetary File System (IPFS) to effectively improve blockchain storage space and reduce computing costs.
The distributed pool blockchain protocol can divide the stored data into multiple small blocks and distribute these small blocks on different nodes to realize distributed storage and backup. At the same time, the protocol can also use blockchain technology to ensure data security and credibility, making the stored image data difficult to be tampered with or lost. However, since image data is usually relatively large, storing it in multiple small blocks on the blockchain may result in inefficient storage and transmission.
WIMI proposes a blockchain distributed storage protocol based on the pooling algorithm and its inverse process, combined with the IPFS (InterPlanetary File System) protocol to store large image data, and uses the distributed pool blockchain protocol to manage and Validate blocks of data stored in IPFS. The IPFS protocol can divide image data into multiple small blocks and store them on different nodes in the network in a distributed manner to achieve efficient storage and transmission. The distributed pool blockchain protocol can ensure the integrity and credibility of the data by performing hash operations and blockchain storage on the data blocks stored in IPFS.
The WIMI Holographic DISP protocol is designed to be optional and non-mandatory. Users who do not accept the DISP protocol can still use the traditional full redundant storage method. Users who accept the agreement can enjoy the benefits of saving space without compromising security performance. The DISP protocol changes the fully redundant storage relative to individuals to community-level full redundancy, that is, the data stored in each node of a community has no redundancy. In DISP, distributed storage ensures that all data will not be lost when a small number of nodes are attacked or fails, thereby enhancing the performance of data security. The distributed pool algorithm reduces the data redundancy of distributed storage and greatly saves storage space.
WIMI (NASDAQ: WIMI) DISP protocol, in the preprocessing stage before implementing the distributed pooling algorithm, first divides the original image into several pooling areas according to the shape of the pooling kernel to form a group of pools to be processed area. The image can then be divided into several parts by a distributed pooling algorithm and stored in multiple nodes.
Addresses that accept the protocol will be collected to form different communities, and the number of nodes in each community is determined by the number of pooled images obtained after the decomposition algorithm. Under a certain compression ratio, each piece of data is still identifiable and can be represented losslessly by compressed sensing or super-resolution. If all the data fragments in the community are collected, the original data can be restored losslessly through the algorithmic reverse operation. The data saved by each node is different from the data of other nodes in the community, otherwise, the node will be divided into another community. Every node in the community can see the whole picture of the data. If the corresponding data fragments stored by each node in the community are collected together, the source data can be recovered without loss after the evidence phase is invoked.
The implementation steps of WIMI holographic DISP protocol are as follows:
Image segmentation:
Divide the image data to be stored into multiple small blocks, and the size of each small block can be adjusted as needed.
IPFS storage:
Store the divided image data in the IPFS network, and use the IPFS protocol to realize distributed storage and backup.
Blockchain verification:
Use blockchain technology to manage and verify data blocks stored in IPFS, thereby ensuring data integrity and credibility. Specifically, each data block has a hash value, which can be stored on the blockchain, and the blockchain is used to record the modification history of the data block.
Accessibility control:
Use smart contracts to implement accessibility control over image data, such as restricting certain users or applications from accessing certain image data.
WIMI (NASDAQ: WIMI) DISP protocol can realize efficient, safe and reliable image storage. Compared with the traditional blockchain storage method, this protocol divides the image data into multiple small blocks and stores them in IPFS, thus effectively reducing the storage space occupied by the blockchain. At the same time, blockchain technology is used to verify the integrity and credibility of data blocks, so that the stored image data is not easy to be tampered with or lost. More efficient, safer, and more reliable image storage can be achieved using a hybrid scheme. In order to make full use of their respective advantages, so as to achieve better performance and effect.
WIMI develops a target tracking algorithm system based on multi-feature fusion.
Source
https://cj.sina.com.cn/articles/view/2311077472/89c03e60020023ogi
March 13, 2023
With the continuous development of computer technology and artificial intelligence, many new forms of human-computer interaction have emerged. Human motion tracking and recognition based on computer vision is becoming a new generation of human-computer interaction technology. In practical application scenarios, human motion recognition and tracking put forward higher requirements for algorithm processing speed, accuracy and hardware conditions.
Due to the complexity of human motion, traditional 3D recognition and detection methods for depth images are not very accurate and reliable. In addition, a single feature cannot adapt to the dynamic changes of the scene, and the target tracking algorithm based on a single feature is difficult to obtain robust tracking results. If multiple features are fused and applied to the tracking algorithm, the complementarity between different features can be used to better adapt to scene changes and obtain robust tracking results.
To this end, WIMI has developed a target tracking algorithm system based on multi-feature fusion. It detects, extracts, recognizes, and tracks human moving objects in images and video sequences, and obtains relevant parameters of moving objects, such as position, speed, and trajectory, and then processes them to achieve higher-level tasks.
WIMI Hologram's target tracking algorithm system based on multi-feature fusion recognizes and analyzes the position and movement of the human body through image processing and analysis technology, machine learning and pattern recognition. Includes recognition, classification, and visual processing of human objects, as well as processing-related position detection, motion analysis, and behavioral understanding. The purpose of target tracking is to accurately identify the region of interest of the target in a continuous image sequence, and obtain motion data such as target velocity and trajectory, and provide a basis for solving various subsequent advanced vision problems such as target behavior analysis and target recognition. Capture human body motion data and extract features, then integrate the extracted human body images into mixed reality, combine human body images with mixed reality, and obtain human body images in mixed reality.
With the continuous development of artificial intelligence and virtual reality technology, the human-computer interaction system has become the current focus of attention. Human motion recognition and tracking is an important way of human-computer interaction, and it has broad application prospects in the fields of games, intelligent robots, and smart homes.
WIMI (NASDAQ: WIMI) develops a virtual digital human gesture generation algorithm based on application scenarios.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001g024?from=finance
March 10, 2023
With the blessing of virtual technology, big data, artificial intelligence and other technologies, virtual digital humans are constantly evolving, with increasingly realistic images, wider application ranges, and greater commercial value. "Digital Human In-depth Industry Report" predicts that by 2030, the overall market size of my country's virtual digital human will reach 270 billion yuan.
A virtual digital human is a composite of human characteristics such as appearance, performance, and interaction, based on technologies such as computer graphics, graphics rendering, motion capture, deep learning, and speech synthesis. It has human geometric and behavioral characteristics . From production to digitization of appearance, virtual digital human gradually deepens into interactive behavior and intellectualization of thought. It not only has human appearance and behavior, but also has human thought, can recognize the external environment, and interact naturally with people.
Gesture, as an important interaction method, has been widely used in car navigation, virtual simulation and other fields. As a new generation of interactive platform, virtual digital human can integrate other interactive technologies to provide multi-modal interactive experience. By establishing a mapping between the abstract communication intention and the physical realization of gestures, and generating rich gestures, the emotional expression of virtual humans can be enriched.
It is understood that WIMI Hologram (NASDAQ: WIMI) is developing a virtual digital human gesture generation algorithm system based on application scenarios, which allows virtual digital human to produce different movements through changes in the environment. Not every sentence of the virtual digital human must be accompanied by gestures, and the gestures of the same sentence in different scenarios will be different. Therefore, the application scenarios of the virtual digital human need to be deeply designed.
The abstract communication intention is processed by natural language, and then the text is mapped to the classification of gesture semantics to build a semantic classification model. Firstly, it is judged whether gestures are needed, because gestures are used to assist and enhance semantic expression, and when it is uncertain whether gestures are needed, it tends to give the result that gestures are not needed. Then make statistics on the corpus of different scenes constructed, analyze the patterns of all actions in the corpus and their corresponding relationship with semantics, sort out the semantic actions in the corpus, and carry out emotional, gesture metaphor semantics, original text and gesture quantitative description language The mapping relationship, and build a classification model.
The mapping process from semantics to quantitative descriptions of gestures is a one-to-many classification problem. For different application scenarios, different corpora are used for training. For multiple gestures under the same metaphorical gesture semantic subdivision category, natural language processing technology is used to semantically match the gesture text with the input text, and the best matching gesture is selected. For the purpose of communication, through natural language understanding, the classification of the text to emotion and gesture metaphor semantics, and the association relationship with the original text are constructed, and finally a virtual digital human gesture is generated.
Gesture interaction of virtual digital human greatly enhances its emotional expression. Based on the automatic generation algorithm of virtual digital human gestures based on application scenarios, WIMI uses the semantic classification method of metaphorical gestures to construct a quantitative description language for gestures, provides a quantitative method for the computable semantics of gestures, and proposes different application scenarios. The construction method of emotional corpus and the construction of emotional corpus provide a data basis for the research of virtual human gesture generation algorithm.
Generally speaking, the theory and technology of virtual digital human are becoming more and more mature, and the scope of application is also expanding. Virtual digital humans have been applied in many industries such as finance, transportation, logistics, retail, manufacturing, etc., helping different industries realize digital transformation.
WIMI develops a hybrid enhanced intelligent system based on human-computer collaboration, moving towards deep human-computer integration.
Source
https://t.cj.sina.com.cn/articles/view/1765776051/693f9ab3020010vm8?from=tech
March 9, 2023
In recent years, with the improvement of computer data collection, storage and computing capabilities, artificial intelligence (AI) has developed rapidly, which is profoundly affecting and changing our lives and shaping the future. Artificial intelligence is profoundly changing the relationship and interaction patterns between humans and between humans and the natural environment and society. It helps human beings solve various high complexity and uncertainty problems in various fields of engineering technology, scientific research and social activities. It brings many disruptive innovations in many fields.
The long-term goal of artificial intelligence is to make machines learn and think like humans. The most important ability of humans is to learn new things and have self-adaptation and knowledge reasoning abilities beyond experience. Introduce human cognitive abilities or human-like cognitive models into artificial intelligence systems to develop a new form of artificial intelligence, namely hybrid augmented intelligence.
The R&D team of WIMI (NASDAQ: WIMI) is developing a hybrid enhanced intelligence system based on human-computer collaboration, which combines human perception and cognitive capabilities with computer computing and data storage capabilities to build a hybrid system based on human-computer collaboration. Enhance the intelligent system, which will improve the decision-making ability, cognitive complexity and adaptability of the artificial intelligence system to deal with problems.
A hybrid augmented intelligence system based on human-computer collaboration covers the functions of a computable interaction model, including dynamic reconstruction and optimization, autonomy and adaptability during interaction, interactive cognitive reasoning, and evaluation, etc., and can effectively realize human-computer communication. It integrates machine learning, knowledge base and human decision making. It uses machine learning to learn a model from training data, or a small number of samples, and uses that model to make predictions on new data. When confidence is low, humans intervene to make judgments. The confidence estimate or the state of the computer's cognitive load will determine whether the prediction requires manual adjustment or human intervention, and the system's knowledge base will be automatically updated. Human predictions and interventions in algorithms improve the accuracy and credibility of the system.
The introduction of human intelligence into the artificial intelligence system can realize the tight coupling between the advanced cognitive mechanism and the machine intelligence system. The two adapt and cooperate with each other to form two-way information exchange and control. By integrating human perception, cognitive ability, machine computing and storage capabilities, and then processing large-scale, incomplete and unstructured knowledge base information, avoiding the risk of loss of control brought about by artificial intelligence technology.
Integrating the perceptual advantages of computers in processing large-scale data and the cognitive advantages of human reasoning and decision-making. With computer computing as the core, enhance people's understanding of complex data, use human reasoning and auxiliary decision-making support to enhance the computer's cognitive learning ability, and implement information perception, understanding, reasoning, prediction, decision-making and learning process.
Relying on artificial intelligence algorithms for rapid identification and understanding, and maximizing the computing potential of "machines", and relying on timely and appropriate artificial reasoning, prediction and decision-making, it can effectively enhance the accuracy and reliability of system cognition, and maximize the It has great potential to give full play to human cognitive advantages, greatly improve the ability of situation estimation, and provide solutions for large-scale cognitive task coordination. Human-machine collaborative decision-making may lead to more valuable solutions and innovations.
In the future, WIMI will continue to develop cognitive reasoning, emotional interaction and auxiliary decision-making hybrid enhanced intelligent applications of human-machine collaboration. Its hybrid enhanced intelligence system based on human-machine collaboration will have a wide range of applications in the fields of game entertainment, advertising media, enterprise management, and smart cities. For example, in the field of game entertainment, technologies such as augmented reality and virtual reality are used to enhance human participation by superimposing the real scene of the user and the virtual scene of the game, which promotes the development of the game industry. In the advertising media industry, social platforms and shopping websites can introduce human-machine collaborative hybrid enhanced intelligence systems to push relevant information to users more effectively and accurately through personal preference analysis.
In the field of enterprise management, the human-computer collaborative hybrid enhanced intelligent system can create a human-computer interaction environment that supports learning, understanding, reasoning and decision-making, which can greatly improve the risk management capabilities of modern enterprises, and provide application solutions for large-scale workflow coordination solutions to enhance its value creation and enhance corporate competitiveness.
Ubiquitous computing and intelligent machines are driving people to seek new artificial intelligence models and implementation forms, and hybrid augmented intelligence is one of the important directions of artificial intelligence development. Human-machine cooperation and mutual complementarity can maximize the potential of artificial intelligence systems at the current level of technology and move towards deep human-machine integration, which will bring valuable creativity and improve the competitiveness of humans and machines. Intelligent machines have become intimate companions of human beings, and the interaction and collaboration between humans and intelligent machines will become the norm in our future society.
WiMi Develops Edge Computing-Based Holographic Face Recognition AI Chip System for Property Management.
Source
https://finance.yahoo.com/news/wimi-develops-edge-computing-based-130000159.html
March 9, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of an AI chip system for holographic face recognition based on edge computing. The system places recognition, acquisition, and analysis at the terminal, effectively improving the optimization of algorithms for one hand and allowing the establishment of a private domain to protect data security for another effectively. This system can be used in some key departments and enterprises or in controlling high-end factories and the security management of industrial parks, office buildings, flats, etc. It is easy and safe to deploy with high efficiency.
The system is different from traditional face recognition and ID match. It enables simultaneous face-tracking acquisition and face attribute analysis feedback results.
It acquires holographic high-density face data of the subject at the front end:
- attributes,
- appearance,
- features,
- collection time,
- geographical location, and
- other essential information.
These features can be identified and distinguished. WiMi's system combines edge computing, AI arithmetic acceleration, deep learning algorithms, holographic data gain technology, convolutional neural networks, face recognition, and acquisition to merge and upgrade the existing security video system.
WiMi's system, which uses a time window for the sampling period, can also be set up according to specific targets, such as critical positions, time on duty, and geographic space. If multiple samples are in a sampling period, the system will select the best sample as the last sampled information. The system will recognize all faces if multiple faces appear in a sampling frame. For completely unrecognizable looks, the system adopts an ignore-and-remain strategy. It focuses on capturing them again in subsequent frames or other surveillance cameras until they are recognized, thus ensuring full recognition and data integrity and keeping the area safe.
This system can provide structured primary data for security management and production safety by matching high-density dynamic personnel information collection to surveillance video of key locations.
The system includes
- a video access port,
- a hologram decoding and frame extraction module,
- a hologram optimization module,
- an edge computing and algorithm acceleration module,
- a face acquisition and analysis module,
- central control module, and
- a data storage and notification module.
Video access port interfaces with existing surveillance video. Hologram decoding and frame extraction module deals with the frames according to the central control module. The hologram optimization module performs image acquisition and analysis in the extracted frames, image optimization acceleration of the sampled frames, and sends feedback to the central control module. If information gets lost, new instructions will be issued by the central control module to reproduce information. With ARM architecture, the edge computing and algorithm acceleration module contains core computing units.
Embedded with multi-layer CNNs, the computing unit performs algorithmic operations on low and high parallel computing performance. The face acquisition and analysis module collects recognition, segmentation, and extraction data by combining photos, geographic information, and time information. The collected face information is analyzed for attributes, gender, age, ethnicity, masks, and glasses. The central control module realizes the sampling process for management, integrated control, and management of other modules. The data storage and notification module stores the collected personal information locally and can notify external systems according to the information level.
The system's front end accesses the video through a dynamic holographic face recognition algorithm based on edge computing, decodes the video holographically, and detects, tracks, captures, and de-emphasizes the faces in the picture. The system uses feature values as information identifiers to build information on pedestrians, completing the collection of information on people and enabling private domain management to improve information security levels. In addition, the system is easy to deploy. It can be deployed in various ways, including external, rack-mounted, and mobile.
The device can be directly connected to existing HD network cameras. It can be used directly on the front end to complete part of the video structuring work, obtain high-quality face-structured data, and improve the speed and calculation efficiency of back-end intelligent identification and analysis, making full use of the existing stock of cameras. Existing unstructured video can be directly upgraded to smart structured data through external attachments.
WiMi's edge computing-based holographic face recognition AI chip system can be used in various essential situations as it can perform high-density dynamic holographic face capture in complex environments. The system uses a digital camera with an intelligent front-end for face information collection and can meet a wide range of requirements for security information collection.
WIMI (NASDAQ: WIMI) develops a new layered fog architecture for IoT sensing and actuation as a service SAaaS.
Source
https://finance.sina.com.cn/stock/relnews/us/2023-03-08/doc-imykcmnf0346099.shtml
March 8, 2023
In recent years, the development of the Internet and technology has led to the proliferation of Internet of Things devices, and the development of the Internet of Things and artificial intelligence will bring data worth hundreds of millions. Its widely distributed sensors, smart terminals, etc. are generating massive amounts of data every moment, and massive amounts of data are being generated at a rapid rate. Cloud storage is under increasing pressure in terms of data calculation, storage and management, and cloud servers may take time to process data, because cloud servers are used as a centralized host to store and calculate data, and are usually located far away from IoT terminals . This creates fog computing, which assumes some of the functions of cloud computing services, reduces the burden on cloud services and improves the efficiency of service feedback and response.
Fog computing is a decentralized computing structure that brings processing, storage, and intelligent control close to data devices. This flexible structure extends cloud computing services to the edge of the network. As a result, distances between networks are shortened, efficiency is increased, and the time required for transmission to the cloud for processing, analysis, and storage is reduced.
At present, there are still bottlenecks in traditional fog/edge computing, such as fog node overload, fog node failure, etc., which make the generation of driving commands delayed or the feedback invalid. WIMI (NASDAQ: WIMI) has developed a new fog architecture for IoT Sensing and Actuation as a Service (SAaaS.Sensing and Actuation as a Service), which is a scalable and fault-resistant layered fog architecture. The main goal of this architecture is to enhance the SAaaS performance of IoT by introducing a fault-resistant layer of fog nodes between cloud and IoT devices, which is called a multi-layer/hierarchical structure.
WIMI's new layered fog architecture for IoT sensing and actuation as a service (SAaaS), which can be called sensor and actuator service layered fog delivery, has higher failure resistance efficiency. The task of the failed node is redistributed to the nearest active node to maintain the network connection. And track the user's pre-specified instructions, which are closer to the end user's IoT device terminal to speed up the generation of driving commands. In case of overload, such nodes can offload their monitoring responsibilities to their parent nodes.
WIMI's (NASDAQ:WIMI) new fog architecture for IoT SAaaS can operate under diverse ecosystems and properly manage observation and actuation requests. Additionally, the infrastructure is highly virtualized to allow multiple users to use the same physical layer components simultaneously, reducing service costs. Leverage fog computing to handle some IoT and cloud tasks that are geographically closer to the data source, rather than relying entirely on remote cloud data centers. Due to the large amount of sensing data generated by IoT sensors, fog nodes may be overloaded. WIMI’s new fog architecture for IoT SAaaS avoids delays in driving command generation, monitors user-specified conditions in the fog layer, and allows Each fog node offloads monitoring to its parent when it is overloaded to reduce action delays in case of fog node overload.
WIMI establishes multi-layer fog nodes between the cloud and IoT devices in SAaaS, which can realize a dynamic fault feedback scheme, by reassigning the tasks of the faulty fog nodes to the nearest connected fog nodes in the same layer or to the faulty nodes The parent node to avoid failures in information sending and feedback.
WIMI's (NASDAQ: WIMI ) new fog architecture for IoT SAaaS is evaluated by using a fog simulator to test the performance of transmission with/without layered fog in different scenarios (number of users, sensors, actuators, and areas). Sense and Execution as a Service (SAaaS) and with/without layered fog (failure redistribution, pre-specified situations in fog nodes and offloading) were compared in terms of computation/communication latency and number of lost messages for observation and actuation commands, at occurrence Failure redistribution prevents loss of messages and maintains network connectivity. It greatly improves the security, stability and response rate of fog applications.
In the future, although cloud computing has "infinite" computing and storage resource pools, cloud data centers are often centralized and far away from terminal devices. When faced with a large number of widely distributed terminal devices and massive data collected, Cloud computing inevitably encounters bottlenecks. Fog computing, with its wide geographical distribution, large-scale sensor network with a large number of network nodes, support for high mobility and real-time interaction, as well as diversified software and hardware devices and cloud online analysis, has been rapidly adopted by the Internet of Things and artificial intelligence applications.
Accepted and widely used by many enterprises, WIMI hologram is used in IoT SAaaS. Through the establishment of multi-layer fog nodes through technical means, the security, stability and timeliness of fog computing have also been significantly improved. It will be applied to M2M (Machine to Machine), human-machine collaboration, Internet of Things industry, smart grid, smart transportation, smart medical care, and unmanned driving are industries that require extremely high information feedback, and have a wide market space.
WIMI plans to build a manufacturing-as-a-service MaaS system platform based on distributed ledgers.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fz8h?from=finance
March 7, 2023
The Industrial Internet of Things (IIoT) is a recently emerging concept that has attracted attention with the arrival of wireless 5G technology, and has already shown a huge impact in the manufacturing field. In recent years, industrial manufacturing has undergone tremendous technological changes, from digitalization and automation to intelligent manufacturing. How to maximize production efficiency and profitability in the manufacturing process is the focus of every manufacturing enterprise. With the development of society, the form and form of manufacturing have also undergone tremendous changes, from the previous large-scale to the present refined and personalized. On the one hand, customers need more customized products and on the other hand, manufacturers need to realize flexible manufacturing in order to meet market demand.
WIMI (NASDAQ: WIMI) is also exploring a new model to seize the opportunity in the market opportunity of industrial intelligence and personalized transformation - to develop a new platform mechanism, manufacturing as a service (MaaS, Manufacturing as a service) service). Under the mechanism of the platform, it can be roughly divided into production demanders and equipment providers. Different demanders can use production equipment and machines provided by different suppliers in the factory to realize the value of the platform. For the demand side, personalized orders can be realized without purchasing large-scale equipment, and for equipment providers, it can further increase the utilization rate of equipment and generate greater value.
In order to realize this pay-per-use business model, WIMI (NASDAQ: WIMI) adopts distributed ledger technology (DLT) to establish decentralized trust and traceability. Distributed ledger technology (DLT) can provide a safe and transparent way to track goods and transactions throughout the supply chain. DLT can provide an immutable record of all transactions in the supply chain from raw materials to finished products. This can help manufacturers track the condition of goods, reduce fraud and errors, and increase transparency and traceability. And create a tamper-proof record of the quality control process and inspection results, which can help manufacturers ensure that their products meet the required quality standards and regulatory requirements. DLT can be used to automate contract execution and payment processes, reducing the need for intermediaries and increasing efficiency. WIMI researches potential DLT technologies in order to efficiently and intelligently integrate DLT-based solutions in the manufacturing environment, hoping to make it a common framework for adopting DLT in the manufacturing industry, realizing collaborative sharing of manufacturing, reducing energy consumption and improving collaboration efficiency.
WIMI's manufacturing-as-a-service MaaS platform based on distributed ledgers includes four key parts.
Distributed Ledger System
This component includes all the modules to build various functions of DLT technology, such as consensus, smart contracts, data authorization, identity management and peer-to-peer (P2P) communication. These components need to ensure that every change to the ledger is reflected in all replicas and provide mechanisms for securely storing data generated by IoT device and parameter configurations. Distributed ledger technologies with different characteristics may have different target applications, and DLT nodes can be located anywhere and connected to the base station through the Internet.
Physical host
This component consists of industrial robots, equipment, and IoT sensor devices that collect data and publish to a distributed ledger for statistics and analysis.
Factory edge node system
DLT-based solutions provide important countermeasures to protect data from tampering and support the distributed nature of IoT, but the large amount of data generated by sensors and the high energy consumption required to verify transactions make these programs unsuitable for direct execution on resources. Deploying edge servers with high computing resources can be used to process real-time applications and further increase the degree of privacy (eg, cloud computing). An edge network is a potential entity that can cooperate with the DLT network in computationally heavy tasks and return estimated results (e.g., from solving proof-of-work, hashing, or algorithmic encryption) back to the DLT network for verification.
Foreign Service
Devices in manufacturing environments are usually resource constrained, with limited storage space and low computing power. Therefore, external infrastructure running at the edge can be incorporated to provide external services such as storage and computing. For example, the Interplanetary File System (IPFS) is a distributed file storage system that can store data generated from IoT networks and return a hash value to the ledger based on the content of the data. Since the ledger cannot process and store the vast amount of manufacturing data collected by sensors, machines, and robots, the services provided by IPFS are an important component. Configure IPFS privately in a local cluster. Second, we apply payment channels to shared manufacturing use cases due to their natural advantages. Specifically, a payment channel is a process in which a customer can make multiple transfers with, for example, a factory operator, without sending a transaction to the DLT. Once a final transaction occurs between participants, the payee can receive funds by submitting a final transaction to a smart contract on the ledger. This allows both parties to avoid fees involved in multiple transactions. A smart contract can be an agreement on the lease time, a specific task between the customer and the plant operator, or a smart contract created at the beginning of the payment process. Additionally, digital identity management (DID) can be added to support managing the identities of participant devices in a distributed manner.
It is reported that WIMI believes that the current general trend in the field of Industrial Internet of Things (IIoT) is to apply digitization and automation to manufacturing plants of cyber-physical systems, and more and more smart devices with sensors and actuators are integrated into in industrial automation process. At the same time, manufacturing plants are building local edge computing infrastructure to provide resources for advanced computing.
It can be said that WIMI (NASDAQ: WIMI) builds a manufacturing-as-a-service MaaS platform based on distributed ledgers, laying the technical framework foundation for the next generation of IIoT applications. The main economic driver behind the development of this technological framework is increased production flexibility. Provide customers with smaller batches and more personalized products. In the manufacturing-as-a-service (MaaS) model, manufacturing equipment can be utilized more flexibly and leased by many demanders who use machines provided by different suppliers in the platform. This can drive manufacturing plants to increased technical complexity and require increased system reliability, intelligence and trustworthiness during operation. Build a truly collaborative industrial Internet of Things, in which manufacturing equipment in various factories is ubiquitous and interacts automatically, without manual intervention, and operates independently, efficiently and safely on a large scale.
WIMI (NASDAQ: WIMI) develops a virtual wearable system based on Web3.0 technology.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fyx6?from=finance
March 6, 2023
With the rapid development of e-commerce, online shopping has become very common. More and more consumers, especially students and office workers, are used to buying clothes, shoes, hats, accessories, cosmetics, etc. online. The change of consumption habits has promoted the upgrading of the consumption market, but at present, our online shopping system is still at the stage of flat display, which is different from the offline shopping experience, and users can only imagine the effect after use, which also causes some problems. People's shopping troubles, selection difficulties, and product returns.
WIMI (NASDAQ: WIMI) develops a virtual wearable system based on Web3.0 technology, which consists of a display module, a product control module, a product selection module, a product simulation module, an interaction module, a transaction system module, an information statistics module, and a sharing evaluation system The modules constitute a complete holographic virtual wearable system.
WIMI holographic virtual wear system can improve the overall shopping experience. Based on Space Web of Web3.0 technology, retailers can create a new virtual shopping experience. Users can try on clothes, cosmetics and accessories virtually, and interact with products in a virtual environment . For example, customers can use virtual reality technology to try on clothes, shoes, jewelry and cosmetics before purchasing, and view the effect after trial through 3D holographic technology in an online virtual way.
The WIMI holographic virtual wearable system reserves two experience technology entrances for users: real person try-on entrance and virtual try-on entrance.
Real-life try-on users can integrate and display the 3D holographic product model and user image through the camera. The product control module is responsible for adjusting the position, size and angle of the 3D holographic model of the product, obtaining the user image in the scene, and then reading the product. 3D holographic model, and integrate and display the 3D holographic model of the product with the user's image.
Virtual try-on, the user can upload a photo, the system can generate a set of user's holographic 3D digital model information, and wear and match on the user's 3D holographic digital model, you can see the product on the body without trying it on yourself Combine and move the situation.
In order to make the product model more realistic, WIMI hologram adds more detailed simulation effects such as texture, light and shadow. For example, clothing adopts texture mapping technology, by drawing a variety of different texture maps for the same clothing model to imitate different colors, patterns, materials, etc. In this way, multiple pieces of clothing with different colors, patterns and materials share one model, which can greatly reduce the cost of clothing model manufacturing and save the storage space of the somatosensory virtual system.
WIMI Holographic (NASDAQ: WIMI) virtual wearable system will be based on Web 3.0 and artificial intelligence (AI) technology, through data decentralization, distributed ledgers, smart contracts, etc. to effectively protect system security and user privacy, focusing on creating a A more decentralized and secure internet that addresses some of the issues associated with online shopping, such as fraud and privacy concerns. And improve the user's trial experience through semantic Web, AI, ML (machine learning), etc.
Data decentralization:
WIMI Hologram is based on the Web 3.0 virtual wearable system and supports a decentralized architecture, which means that data and applications are not controlled by a single centralized organization. This can provide greater security for online shopping and reduce the risk of data breaches.
Distributed ledgers:
Distributed ledgers can be used to provide a more secure and transparent payment system for online shopping. This provides better protection against fraud and chargebacks, and reduces payment processing times.
Smart contract:
WIMI Hologram is based on the Web 3.0 virtual wearable system, which can use smart contracts in online shopping. This is an automatically executed contract. The terms of the agreement between the buyer and the seller are directly written into the code line, and the smart contract can automatically complete online shopping. Many tasks that are typically done manually in the web server, such as payment processing and order tracking.
Semantic Web:
Create the Semantic Web, which means data is structured in a way that is easily understood by humans and machines. This can provide customers with a more personalized shopping experience and improve the accuracy and relevance of search results. For example, chatGPT can be understood as the prototype of the Semantic Web, enabling better interaction and understanding between the Internet and people.
Artificial intelligence and machine learning:
Use AI and ML to provide a more personalized shopping experience, improve the accuracy and relevance of search results, and provide the most suitable match based on user needs. AI, ML techniques can also be used to detect fraud and predict consumer behavior.
WIMI(NASDAQ: WIMI) based on Web 3.0 virtual wearable system can bring more convenience to customers and retailers. Users get a better try-on experience through the system to make the best purchase decision, while retailers can save on physical inventory and storage space costs, and reduce returns. In addition, WIMI holographic virtual wearable system can provide customers with a more personalized shopping experience, thereby improving customer satisfaction and loyalty. And WIMI WIMI Hologram's Web 3.0-based virtual wearable system enables users to better control their data and personal information through the setting of decentralized distributed ledgers, and can purchase products more securely and privately without worrying about data leakage or misuse. Provide more transparency and accountability in online transactions. Reduce incidents of fraud and build more trust between buyers and sellers, improving the online shopping experience and safety.
WiMi Hologram Cloud Integrates AI Technology Into Digital Humans.
Source
https://www.newstrail.com/the-smart-digital-humans-wimi-hologram-cloud-integrates-ai-technology-into-digital-humans/
March 3, 2023
The Beijing Municipal Bureau of Economy and Information Technology released a white paper on the development of the Beijing AI industry in 2022 at the Beijing AI Industry Innovation and Development Conference held on Feb 13. Up to now, Beijing has 1,048 core AI enterprises, accounting for 29 percent of China’s total AI enterprises, ranking first in the country. This year, Beijing will support the head of enterprises to build a big model of benchmarking ChatGPT.
AI Technology Is Set To Explosive
After the recent popularity of the AI industry upstart ChatGPT, Google and other large technology companies have announced the launch of competing products to participate in the new competition in the AI field. Microsoft founder Bill Gates said that AI will be “the hottest topic of 2023.” ChatGPT The emergence is a milestone event in the history of AI development, which has had a profound impact on the information industry and the AI industry.
The concept of ChatGPT exploded in the secondary market, and AI-related listed companies also ushered in a wave of research boom after the Spring Festival, and the research content covered the focus of ChatGPT technology foresight, the company’s layout in ChatGPT-related applications. At the same time, driven by the concept of ChatGPT, technology companies have announced the daily limit, and the coverage has been expanded from AI companies and Internet e-commerce companies to virtual human companies.
2023, the association of Digital Humans with ChatGPT
ChatGPT As the hottest topic in the global technology industry, AIGC represented by the ChatGPT model will bring a new imagination space to the Metaverse-related industry chain, and will completely change the Digital Humans as the core entrance of Metaverse. In September 2022, the first Web3.0 immersive party in China, Baidu AI Digital Humans Du Xiaoxiao shocked the audience; in January 2023, the first domestic Metaverse information program “Good morning, Metaverse” started, virtual news anchor ShenYa broadcast and interpreted the news for the audience.
In the first domestic Web3.0 Metaverse immersive song party held by Baidu, the virtual AI assistant Du Xiaoxiao served as the AI producer of the song party. From the case of Du Xiaoxiao, it is not difficult to find that the identity virtual person and the service virtual person are integrated, presenting the characteristics of being both an assistant and an idol. With the continuous upgrading and improvement of ChatGPT / AIGC and other artificial intelligence technologies, AI interactive virtual people may become a new application trend in the future, and the commercial value of service-oriented virtual people will be further highlighted.
For example, the demands of Internet giants and brands in content / IP and services are the main forms of Digital Humans. For enterprises, the construction of their own Digital Humans IP can not only realize the comprehensive demands of layout Metaverse in advance, close to generation Z people, and creating marketing hot spots, but also greatly improve the operation efficiency of enterprises due to the advantages of high Digital Humans usability, not easy to collapse, and not subject to time and space restrictions. The business practice has proved that virtual person is one of the industries that have priority scale landing and effect very fast in the current technology track.
Virtual Digital Humans involve technologies including AI, motion capture, modeling, and rendering, while real-time interactive live streaming has higher requirements for voice interaction. From this point of view, AIGC technology and virtual people live broadcasts do have a lot of crossovers. Caitong Securities Research report pointed out that ChatGPT downstream application scenarios include code robots, novel derivatives, dialogue search engines, voice work assistants, dialogue virtual people, and so on.
WiMi Hologram Cloud AI Catches The Trend
Against this backdrop, a host of companies with virtual people are eager to catch up with the ChatGPT boom. It is understood that WiMi Hologram Cloud (NASDAQ: WIMI) is the world’s leading holographic AR application technology provider, it is using ChatGPT technology to realize holographic digital twins, and based on AI technology to train the proprietary brain of holographic Digital Humans to form a personalized model.
To put it simply, WiMi Hologram Cloud relies on artificial intelligence deep learning, AI vision, virtual / augmented reality, and image processing technology applied to virtual Digital Humans, so that virtual human appearance and action posture can be closer to real people. WiMi Hologram Cloud Provides fine services, from the aspects of software and hardware to provide the whole solution, to build brand exclusive IP, as well as the whole digital marketing planning, to achieve a variety of customized services, inject soul into the core of AI Digital Humans.
After years of deep accumulation in the field of virtual technology, WiMi Hologram Cloud has created the leading virtual human technology operation process and solutions. It is reported, with its research and development of AI Digital Humans and the underlying algorithm, and standardized operation and professional production team, WiMi Hologram Cloud is expected to launch highly true and can dialogue with the user’s natural virtual image, help the brand promoted the online interaction effect, and bring the user a fresh visual experience, enhance the value of the brand IP image.
From the above introduction, the combination of ChatGPT and virtual Digital Humans can be used for a wide range of application fields such as virtual live broadcasting. In addition, it is expected that in the future, WiMi Hologram Cloud will pay more attention to the integrated application of Digital Humans and AI and other models, and rapidly expand to different industries and different scenarios, to layout for future AI digital improvement.
Conclusion
The ability to integrate the upstream and downstream resources of the industry is gradually becoming the standard configuration of Digital Humans production companies, and the moat lies in whether it can improve the input-output ratio, and whether it has the core technology to improve the user experience. Since its birth, virtual people have been inseparable from AI technology. ChatGPT, AIGC ability is an AI “human Gree” or “creative power”, its level determines whether the virtual Digital Humans is as realistic as people. It is foreseeable that more Digital human start-ups will flood in this direction in 2023.
WIMI.US develops a virtual reality multi-channel interactive system to build a harmonious and natural virtual reality human-machine environment.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fybc?from=finance
March 3, 2023
Virtual reality is a computer system that can create and experience a virtual world, which is generated by a computer and acts on the user through sight, hearing, touch, smell, etc., to create an immersive feeling for the user. Among them, immersion, interaction and imagination are the three basic characteristics of virtual reality system. Human-computer interaction is one of the core technologies of virtual reality. The goal of human-computer interaction is to transform the user's behavior and state (input) into a representation that the computer can understand and operate in an appropriate way, and to convert the behavior of the computer into a representation that the computer can understand and operate. And status (output) is transformed into an expression that people can understand and operate, and at the same time give feedback to people through the interface. On the one hand, virtual reality needs to perceive the input information of multiple sensory channels such as user's muscle movement, posture, language and body tracking; on the other hand, it can simulate the realistic real world from multiple sensory channels such as human vision, hearing, touch and smell. feeling, thus establishing a natural and harmonious human-machine environment.
The new generation of interactive mode is characterized by multi-channel and multimedia, which will make human-computer interaction more intelligent. The multi-channel here refers to the use of various human sensory channels and action channels, such as voice, posture, movement, eye movement, lip movement, expression and consciousness. This interactive mode realizes the parallel and imprecise way to interact with the computer, thus greatly improving the naturalness and efficiency of human-computer interaction.
WIMI (NASDAQ: WIMI) has developed a virtual reality multi-channel interactive system. A multi-channel interactive system refers to a collaborative approach that combines two or more input channels (such as voice, video, touch, and gesture) in one system, making full use of different human sensory channels to make the interaction more natural and effective. In a multi-channel user interaction system, users can use natural interaction methods such as voice, gestures, eyes, expressions, lip movements, etc. to work collaboratively with the computer system. Both humans and machines are active participants in information exchange. There are various methods such as serial/parallel, complementary/independent, etc. Human-computer interaction is closer to the form of human-human interaction, which greatly improves the naturalness and efficiency of interaction. This will be the future of virtual reality human-computer interaction mainstream form.
The use of multi-channel interaction in virtual reality has obvious advantages. It can not only reduce the degree of coupling and reduce the cognitive load of users, but also significantly improve the recognition rate of input, provide users with flexible input methods, and improve interaction efficiency.
WIMI holographic virtual reality multi-channel system enables users to use different channels to interact at the same time. These interactions are usually based on voice, gesture or tactile input. In addition, facial expression recognition or lip reading are also used for multi-channel input. The multi-channel interface can combine the advantages of individual channels, or switch channels according to the environmental context. Since the multi-channel technology combines the input streams of multiple channels, the use of multi-channel interactive technology in virtual reality can greatly improve the performance of system control.
There are two main methods of multi-channel fusion, feature fusion and semantic fusion. Feature fusion is based on the fusion of the original input data at the signal level. This method is suitable for closely coupled channels; semantic fusion is to map the input data For the process of semantic interpretation, the input information flow is obtained from the input channel, and a unified data representation is constructed through preliminary preprocessing.
Human-computer interaction is the interactive relationship between the system and the user. It uses the dialogue language between the human and the computer to complete the information exchange process between the human and the computer in a certain interactive way. In human-computer interaction, the natural interaction behavior of human beings and the state change of physical space are multi-channel patterns.
For human-computer interaction in virtual reality scenes, whether it is speech recognition, emotion recognition or human-computer dialogue, deep learning will make the established system more intelligent. WIMI holographic multi-channel user interaction system can enhance the ability of machine models to identify, classify and analyze confusing behaviors. It leads the virtual reality human-computer interaction mode to gradually develop in the direction of intelligence, humanization and scene, and build a harmonious and natural environment. virtual reality man-machine environment.
6G Holo- Communication Is Expected To Become Top Application.
Source
https://www.newstrail.com/6g-holo-communication-is-expected-to-become-top-application/
March 2, 2023
The driving force of 5G technology is increasing nowadays. With the large-scale development of 5G, the evolution of 5G and the research and development of 6G have also become hot topics in the industry.
As we all know, 6G will achieve a higher rate, lower delay, and wider connection than 5G. At the same time, it will apply high-frequency resources such as millimeter waves and terahertz and fully combine them with artificial intelligence technology to achieve” a seamless connection” between sky, heaven, and sea.
Imagine the 6G application scenarios
6G is not a simple rate enhancement but will build a unity of virtual and reality. The physical world has perception, action, and experience, all of which can be virtual and programmed in the digital world. The changes in the physical world are synchronized with the changes in the digital world. A large number of data sources can be adopted from the physical world to the digital world and presented in the real world.
In addition, the development of 6G technology in the future will provide a stronger communication network, which will gradually make the development and application of holographic communication services possible. Holographic communication service is the overall application scheme of data collection, coding, transmission, rendering, and display based on naked-eye holographic technology. It includes the whole end-to-end process from data collection to multi-dimensional sensory data reduction. It is a business form with high immersion and high natural interaction.
6G technology will support humans to have a deeper understanding and perception of the physical world, and help humans to build a virtual world and the virtual world, thus expanding the human activity space; while supporting a large number of intelligent interconnections, to extend human physical and intelligence levels. Combined with 6G technology, holographic communication vision and the development trend of future communication technology, expansion, and mining can acquire 6G holographic communication scenarios and business forms including digital twin, holographic, high-quality holographic, immersive XR, new smart city, all-region emergency communication and emergency rescue, intelligent factories, networked robots, autonomous systems and so on.
According to the dependence on technology and given with holographic AR, household experience, the future 6G era, holographic communication application scenarios will have seven categories, respectively bandwidth remote management, low delay precision auxiliary, super intelligent information network, multidimensional interactive experience, high-quality portrait interaction, presence holographic display and immersive holographic image. Practitioners believe that holographic communication is moving from science fiction to reality under the 6G network, and AR, holographic communication, and other applications are expected to explode in the field of toB and toC.
WiMi Hologram Cloud takes the leading position in 6G
According to the data, the first holographic AR WiMi Hologram Cloud (NASDAQ: WIMI) has established an industry-leading technology matrix and is also active in retail, education, marketing, sports, entertainment, art, and other fields. For example, in the field of advertising and marketing, holographic AR can be used to assist marketing and live broadcasting to attract consumers. Due to the mature industry chain of WiMi holographic AR and the continuous expansion of consumer applications, based on 5G, through the analysis of the industry market and the future development of holographic communication business under the network, it will gradually build a typical scene of holographic business under the 6G network in the future.
In recent years, in terms of industrial digitization, WiMi, based on the combination of 5G and artificial intelligence, big data, cloud computing, and other digital technologies, constantly explores new application scenarios in the fields of business, public services, culture, and entertainment, to help stimulate the digital potential of the industry. In terms of technological innovation and evolution, artificial intelligence technology and holographic AR have been introduced in 5G to promote the network bandwidth to be far more flexible and intelligent. In the stage of 5G commercialization, WiMi promotes the integrated application of 5G in key industries and strengthens the construction of a cross-industry integration standard system.
At the present stage, the immersive experience in the industry is virtual reality or augmented reality and two combinations, and due to the display accuracy and the download rate of scene data, the augmented reality experience has not reached commercial standards. In the context of 6G technology, the development of WiMi immersive holographic projection, naked eye 3D and other display technology has provided good support for the growth of the audience’s “multi-screen”, “ultra-wide perspective” and “immersive” three-dimensional viewing demand. It will greatly improve the user’s experience. Typical scenes, including holographic service and sales, holographic news and stage design, holographic cinema, building model room display, and immersive theme restaurant, etc., will provide users with a fully immersive experience.
To Sum Up
5G has built a new ecosystem of terminals, and 6G is also the continuous evolution of 5G. In the future, the 6G network will achieve all-domain integration. China attaches great importance to the research and development of 6G technology and the construction of the framework. The 14th Five-Year Plan for Digital Economy puts forward the layout of the sixth-generation mobile communication (6G) network technology reserve, increases the support of 6G technology research and development, and actively participate in the promotion of 6G international standardization.
There is no doubt that the industry is currently in the preparation stage for 5G commercialization to 6G. After all, the 5G and 6G technologies can empower the huge potential of many industries, including education, enterprise, and healthcare. Science and technology lead innovation. I believe that there are still many technologies in 6G holographic communication to be broken through and multiple application scenarios to be implemented in the future.
WIMI.US, a new force in lidar concept stocks, makes efforts to overtake on curves.
Source
https://finance.sina.com.cn/jjxw/2023-03-02/doc-imyinimr7806386.shtml
March 2, 2023
With the development of automobile intelligence, the global lidar industry is actively undergoing changes, hoping for a longer-term development.
Why do car companies favor lidar?
When it comes to autonomous driving, the battle between pure vision and radar systems continues. In recent years, new domestic forces have used lidar. Generally speaking, laser radar is vehicle-mounted laser radar, a radar system that uses laser light as a detection method to detect the position, speed and other characteristics of the target by emitting light beams.
Lidar is known as the "eye" of a smart car. Its core advantage is to use the high-frequency characteristics of lasers to measure a large number of high-speed position and speed information to form accurate and clear 3D modeling of objects. Since Velodyne applied lidar to the DARPA driverless car challenge, it brought lidar into the field of autonomous driving for the first time. Since then, with the continuous development of downstream applications such as ADAS, the industry has ushered in great development.
The "burst year" of lidar in 2023
Starting from 2021, car companies have gathered together to announce that lidar will be "on the car". By 2022, many models equipped with lidar will begin mass production and delivery. The outside world also calls 2022 the "first year of mass production" of lidar. From cost reduction, to mass production and delivery, to the "explosion" of lidar, many people in the industry have regarded 2023 as the "explosion year" of lidar.
In terms of market prospects, some companies predict that the automotive ADAS lidar market will usher in rapid growth in the next five years, with an average annual compound growth rate of up to 73%. By 2027, the global lidar delivery volume is expected to reach 5.3 million units, and the ADAS lidar market size will increase to US$2 billion. Obviously, lidar is moving from the stage of technological breakthrough to the stage of mass production and on-board vehicles.
Behind the growth space is the new energy vehicle market that has continued to explode in recent years. Advanced automatic driving has become the "future" of automobile development, and lidar is an indispensable sensor in automatic driving systems. Therefore, although the L4/L5 level of autonomous driving has not been implemented quickly, consumers have already expected autonomous driving. In order to meet the market demand, car companies have also proposed new concepts on the level of intelligent driving, such as L3.5 level, etc. When smart cars move from L2 to L3 and L4, the speed of LiDAR will naturally increase simultaneously.
Broad market prospects
In addition, it is precisely because of the broad expectations for the prospect of the lidar market that the world's leading provider of holographic AR application technology WIMI (WIMI.US) bravely enters the autonomous driving and lidar market with technological innovation, and urgently needs to tap the market potential. In order to seize the era when the automatic driving window is on the rise, WIMI has invested in research and development in the field of lidar in advance, which has greatly increased the company's long-term corporate competitiveness.
In terms of actual actions, WIMI has been closely connected with the automotive industry in the fields of intelligent manufacturing transformation, intelligent vehicle research and development and application, new energy and intelligent vehicle application and promotion. A long time ago, after obtaining the patent of the 3D holographic pulse laser processing device for optical holography, and customers in many industries showed strong market demand, WIMI immediately developed the 3D holographic pulse laser radar product "WiMi HoloPulse LiDAR" to further expand the company's radar product portfolio matrix.
According to the information, WiMi HoloPulse LiDAR is a multifunctional holographic pulse lidar sensor with a unique scanning mode, which is small in size and light in weight. Comes with a point cloud interface, no need to connect an additional adapter box during operation. This LiDAR solution provides software development kits that are matched with hardware products, including functions such as target detection, classification, and counting. System (ADAS), traffic management, etc. provide solutions.
It is reported that after years of intensive cultivation and development, WIMI has accumulated profound experience in core components, smart chips, and lidar perception based on depth science, and has built a closed loop of the three core technologies of lidar hardware, AI algorithms, and semiconductors. , has become one of the more prominent companies in the lidar industry. WIMI provides an integrated solution of "hardware + software", gradually expanding its business to the field of autonomous driving. Considering the popularity of smart driving in the future, and lidar may be the standard sensor for smart driving, this is also a big market, and the penetration rate of WIMI will increase significantly in the future.
end
In today's competition in the smart car market, greater opportunities spur greater competition. There is no doubt that lidar is the future development direction of the industry, and it is also the development direction of the autonomous driving industry. However, the next test for lidar companies is still the speed, endurance and rhythm of this marathon, and the end of the market is far from coming.
WIMI (NASDAQ: WIMI) develops an interactive holographic display system based on finger gestures.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fy02?from=finance
March 2, 2023
Holographic technology uses light interference and diffraction to record and reconstruct the light wave surface. During the reproduction process of hologram, holographic technology can not only accurately reconstruct the amplitude information of light wave, but also reconstruct its phase information. How to use holographic technology for 3D display has always been a hot topic in the field of 3D stereoscopic display.
WIMI (NASDAQ: WIMI) has developed an interactive holographic display system based on finger gestures. Through this system, users can intuitively process electronic holographic images in real time through finger gesture movements detected by motion sensors. This intuitive control mechanism provides users with a realistic and immersive environment.
First, the system detects the observer's gestures using motion sensors. After the finger gesture movement is detected, the system generates a 3D object composed of point clouds, and calculates the CGH of the 3D object, and then displays the CGH on the SLM, and reconstructs the holographic 3D image by illuminating the SLM, and realizes the interactive processing of the electronic holographic moving image .
In order to achieve interactive operation without discomfort, the system needs to be operated in real time. For this reason, we combine CPU and GPU to process point cloud and calculate CGH in parallel, and distribute the calculation load to multiple GPUs. Computational holography obtains the hologram, and then carries out photoelectric reconstruction on it, combined with computer vision to detect the position of the human finger, and guides the dynamic display of the digital holographic photoelectric reproduction of the real image. The digital holographic photoelectric reproduction system performs photoelectric reproduction to the digital hologram and projects the reproduced real image. In terms of interaction, the vision system detects finger gesture movements, and feeds back the detection results to the digital holographic photoelectric reproduction system to guide the reproduced holographic images, thereby realizing the interactive display of digital holographic real images.
Because holograms are recorded on photosensitive materials, it is difficult to use holograms to record and reproduce moving images. By simulating the propagation and interference of light on a computer, and using a large-scale programmable gate array, a graphics processing unit (GPU) and an accelerated computing algorithm of CGH, the three-dimensional image can be successfully reconstructed and interacted in real time.
WIMI's interactive holographic display system based on finger gestures enables users to intuitively process electronic holographic images in real time. At the same time, by using a graphics processing unit to parallelize holographic calculations, real-time interactive processing of holographic images is realized. In addition, WIMI will also strive to expand the system to a full-color reconstruction system to generate more realistic 3D images.
Domestic holographic technology started late but developed rapidly, and is currently mainly used in entertainment games, exhibitions and other fields. Holographic technology has many advantages such as multi-dimensional storage, 3D realistic vision, and naked-eye display. With the continuous development of holographic technology, holographic technology is now developing in the direction of digitalization and optomechanical integration. More and more products developed by using holographic technology are going to the market, and at the same time, the emergence of microwave holography and acoustic holography has also been spawned. Holographic technology occupies an important position in both life and academic fields, and has a very broad market. We have reasons to believe that in the future, holographic technology will become an irreplaceable important technology in the social and economic fields.
WiMi Hologram Cloud Develops Neural Network-Based Data Fusion Algorithm System to Boost Processing Capacity.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develops-neural-130000270.html
March 1, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of neural network-based data fusion algorithm system. Data fusion is the integrated processing and optimization of multi-dimensional information acquisition, representation, and intrinsic linkages to produce complete, accurate, timely, and effective integrated information.
With powerful self-learning, adaptive, non-linear matching, and information processing capabilities, neural networks are algorithms that imitate human brains for information processing. Applying neural network technology to data fusion can reduce redundant data transmission and improve the system's speed, accuracy, and performance.
Neural networks usually consist of an input layer, a hidden layer, and an output layer. The multi-layer network architecture makes the output of information more accurate. The neural network algorithm is a supervised learning algorithm whose main idea is to learn from known network intrusion samples by using gradient search techniques, with the ultimate goal of minimizing the mean square error between the actual output value of the network and the desired output value. In addition, neural networks provide non-linear transfer functions and parallel processing capabilities to help perform image fusion. The neural network consists of processing nodes (neurons) connected. A neural network data fusion model is built to assign neurons and interconnect weights based on the relationship between the input and output of multi-sensor data.
Neural networks have robust characteristics such as fault tolerance and self-learning, self-organizing and self-adaptive capabilities. The system's classification criteria are determined based on the similarity of the samples accepted. The weight distribution of the network characterizes the process. Specific neural network algorithms are also used to acquire knowledge, obtain uncertainty inference mechanisms, and utilize neural networks' signal processing capabilities and automatic inference functions to achieve multi-sensor data fusion.
Firstly, the system chooses its topology according to the requirements and the form of sensor information fusion. Secondly, the input information of each sensor is integrated and processed by the system into an overall input function, and this function mapping is defined as the mapping function of the relevant units. The statistical laws of the environment are reflected in the network's structure through the interaction between the neural network and the environment. Finally, the system learns and understands sensor output information, determines the assignment of weights, completes the fusion of knowledge acquisition information, interprets patterns, and converts the input data vectors into high-level logical concepts.
WiMi's system utilizes the generalization ability of neural networks and pattern recognition. It can deal with uncertain information as classifiers, fuse the sensor information obtained by the network, get the parameters of the corresponding network, convert the knowledge rules into digital form, and establish a data knowledge base. The system can acquire knowledge by extracting external information and parallel associative reasoning. The complex relationships of the uncertain environment are fused into accurate signals that the system can understand after learning and reasoning. Neural networks have the capability of massively parallel processing of information, which can enhance the speed of information processing in the data fusion algorithm system, effectively reduce redundant data transmission, increase the accuracy of data fusion, and improve the performance of the data fusion algorithm. At the same time, the distributed information storage and parallel processing features of the neural network are used to achieve real-time recognition and improve the performance of the data recognition system.
WiMi Hologram Cloud Develops 3D Gesture Tracking Algorithm to Build Smart and Efficient HCI Model.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develops-3d-130000762.html
February 28, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced its development of 3D gesture tracking algorithm. This is a method of tracking a user's gesture by capturing the position of the target gesture and translating its movement into a continuous path of points in a video frame to parse human gestures through mathematical algorithms.
A three-dimensional gesture tracking algorithm is a significant research direction in computer vision. The algorithm achieves the tracking of user gestures through gestures and camera pose and position information, which solves the gesture tracking problem in video streams to a certain extent. 3D gesture recognition can recognize various gestures and movements, an essential trend in the current development of gesture recognition technology. Its multi-angle 3D imaging can be realized by using special algorithms after image acquisition through a camera, without the need to wear any sensor or marker, as long as the ordinary camera can synchronize the output of hand movement trajectory, which has the characteristics of naturalness, convenience, scalability, and accuracy.
WiMi's 3D gesture tracking algorithm system can be divided into three functional modules:
- image information acquisition,
- processing and analysis, and
- result output.
The core is the gesture tracking, feature extraction, and segmentation of gestures.
Combining digital image processing, AI, computer vision, and other technologies, WiMi's 3D gesture tracking algorithm system can complete 3D imaging of human hands and recognize and track gestures. At the same time, combined with accurate depth information, the system enables users to interact with the computer more naturally. The system enhances the interaction experience between the user and the computer and effectively reduces the error rate when the user operates. As mobile devices gradually become more portable, mobile terminals are equipped with more and more sensors, making it possible for smartphones, tablets, and other mobile devices to obtain information about users' hand movements in real-time.
Three-dimensional gesture tracking algorithm has been widely used in many fields such as entertainment games, education, medical and industrial production. It can build a more efficient communication bridge between machines and humans, making life more colorful and intelligent. With the continuous development of hand gesture tracking and recognition technology, the application area of using hand gestures for interaction will also become more extensive. In the future, WiMi plans to expand the application of 3D gesture tracking algorithms in the fields of virtual reality, robot remote control, intelligent driving, games, and entertainment.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
WIMI Holographic (WIMI.US) develops ultra-thin panel holographic display system, subverting the existing commercial display pattern.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fxcz?from=finance
February 28, 2023
After years of difficult development, holographic technology has always been the ultimate display goal pursued by the display field. Because of the 3D holographic display, it can reproduce a real 3D holographic space image that conforms to human vision, and restore the real scene without causing discomfort. Although the current holographic display system has been widely used in various commercial application scenarios, due to its large and complex system structure and complex optical structure, as well as difficult to standardize production, its price, use of space, light interference, etc. Limiting its wider application. WIMI (NASDAQ: WIMI) has developed a holographic display system based on the interactive ultra-thin panel of the steering backlight unit and the holographic video processor, which is planned to be used for commercial display, which will completely change the pattern of application scenarios of holographic displays.
The current traditional holographic display technology has a narrow viewing angle, bulky optical components and no dedicated holographic image computing unit, resulting in low holographic image processing capabilities. WIMI has proposed an interactive ultra-thin panel holographic video display system using a steering backlight unit and a holographic digital image processor to solve the above problems. The WIMI holographic turning backlight unit can greatly expand the viewing angle, and its diffractive waveguide structure makes the display slim. The holographic video processor calculates high-quality holographic images in real time on a single chip.
WIMI's ultra-thin panel holographic display system includes a steering backlight unit (S-BLU, Steering-backlight unit), which consists of a coherent BLU and a beam deflector (BD). By using S-BLU, the SBP (Spatial Bandwidth Product) is increased several times. All optical components are designed and manufactured with ultra-thin construction. 8K ultra-high-definition holograms are realized through a single-chip FPGA processor through dedicated holographic digital image processing. The optical architecture consists of a beam deflector, a coherent backlight unit, a geometric phase lens, and a spatial light modulator. Coherent backlight unit configuration using waveguides: first waveguides for red and green light and second waveguide for blue light stacked together to increase overall efficiency.
Real-time interactive holographic digital content displays, updating 3D images based on the position of the viewer's eyes detected by eye-tracking sensors. Generate corresponding 3D holographic digital images through graphics rendering or 3D holographic cameras. The holographic digital image processor calculates the light field distribution on the lens plane of the eye based on the image on the retina plane. Then, according to the light field distribution on the eye lens, calculate the best SLM holographic pattern, generate high-quality holographic images for the application scene, and match the best viewing angle.
WIMI (NASDAQ: WIMI) is an ultra-thin panel holographic display system that uses its proprietary technology to create a more immersive and realistic holographic experience. Because of its thinness and ultra-high-definition display, it may completely change the application scenarios of holographic display.
In-depth commercial use in multiple market segments, including:
Advertising and promotion: The ultra-thin panel holographic display system can be used to make eye-catching advertisements and promotional displays. Compared with traditional 2D displays, it can attract more eyeballs, and because of its thinness, it takes up a lot of space compared to traditional holographic displays. Therefore, it will have a more flexible application space.
Entertainment: Holographic displays can be used to enhance the immersive experience in movies, games and other entertainment applications.
Education and Training: Ultra-thin holographic display panels can be used to create interactive and engaging learning experiences such as simulation and virtual reality training, experiments, hands-on training and more.
Retail and merchandising: Holographic displays can be used to showcase products, create a unique in-store experience, and attract customers.
Medical and scientific visualization: Holographic displays can be used to visualize complex medical and scientific data, such as molecular structures and 3D holographic images of organs, which are more intuitive and interactive.
WIMI will change people's perception of holographic display through this proprietary technology. The ultra-thin holographic display system will become a game changer in the holographic display market. The ultra-thin panel holographic display system will open up new possibilities for enterprises and consumers sex. WIMI has already planned to start rolling out the new display system to some customers, and plans to make it more widely available in the near future.
WIMI develops a holographic building model reconstruction algorithm based on oblique photogrammetry point clouds.
Source
https://t.cj.sina.com.cn/articles/view/1765776051/693f9ab3020010t94?from=tech
February 27, 2023
The process of urbanization is developing rapidly all over the world, and large-scale and super-large-scale cities are still expanding and developing, posing constant challenges to the construction of public services in urban management. With the development of technology and technology, smart cities have been proposed and put into practice in recent years. With the application of urban big data and urban physical space technology, it is possible to construct urban holographic 3D overall data. WIMI Holographic Development A holographic 3D building model reconstruction algorithm based on oblique photogrammetry point clouds, which can help city managers make better use of urban space, and make the most reasonable construction and planning and effective management.
3D models of buildings can be divided into multiple levels of detail with different geometric and semantic information for different application levels. Models that distinguish between building roofs and facades constitute the structural system data for smart cities and are most widely used in urban construction and management. With the rapid development of aircraft and sensors, point cloud has become the main data for 3D urban reconstruction, and automated 3D urban reconstruction has been realized at the same time. As an important means of 3D point cloud data acquisition, laser radar technology (LiDAR) can directly obtain the position of the target, eliminating the complicated process of solving image correspondence, and has been widely used in urban 3D building reconstruction. However, airborne laser scanning ALS Building facades are often missing from the data, especially for tall buildings.
WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud, combined with photogrammetry point cloud from aerial oblique images and 2D footprints of buildings, photogrammetry point cloud can be combined with structure in motion (SFM) and multi-view Holographic Stereoscopic (MVHS) pipeline for fully overlapping image generation. Oblique photogrammetry point clouds to reconstruct architectural models. Photogrammetry involves creating a 3D model using photos. By tilting a point cloud to capture a set of 3D points from different angles, by using a point cloud captured from multiple angles, a more accurate holographic 3D model of a building can be created.
In the preprocessing step of WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud, the vertical plane is extracted from the point cloud, and then projected onto the coordinate plane to generate the line structure of the building. Afterwards, the footprint data is brought in and precisely aligned with the point cloud in the coordinate plane, since differences in origin and representation between the two data types inevitably lead to positional bias. Using line features as primitives is the preferred alternative to two-based data representations.
- In the first stage, the floor plan of the building is constructed using the footprint data of the building generated from the point cloud and the line structure of the building. Reorient edges based on footprint and filter based on spatial consistency.
- In the second stage, for each edge in the plan layout, the elevation points lying on it are projected onto its vertical plane, resulting in a point density distribution. The optimal profile for each edge is then generated through clustering, regularization, and binary integer programming functions. Finally, WIMI WIMI Hologram's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud generates a 2D topology from the combination of plane layout and outline to reconstruct the holographic 3D model of the building. Once a holographic 3D urban building model is created, it can be used in various smart city applications such as urban planning, disaster response, and facility management.
WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point clouds can greatly optimize the construction of urban holographic 3D models and provide a more efficient and convenient solution for urban model reconstruction. Urban planning and construction use the model to visualize and analyze impacts.
This helps optimize land use, infrastructure planning and transportation systems. Such as urban traffic management, reconstruction through this technology can be used to create detailed maps of traffic patterns and congestion, which can help city authorities optimize traffic flow and reduce congestion. In terms of urban public safety, reconstruction through this technology can be used to create holographic 3D models of public spaces such as parks and streets, which helps identify potential safety risks such as blind spots and dark areas. This information can be used to optimize lighting and surveillance systems to improve public safety.
In general, WIMI (NASDAQ: WIMI)'s holographic building model reconstruction algorithm based on oblique photogrammetry point cloud provides a more efficient processing solution for urban models through surface reconstruction, texture mapping, point cloud registration, etc., and improves urban holographic The update efficiency of 3D models can be used to optimize urban planning, improve infrastructure management and improve the quality of life of residents, playing a key role in the development of smart cities.
WiMi Hologram Cloud Discloses A Holographic Imaging Device And Method.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-discloses-holographic-130000562.html
February 27, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the disclosure of proximity 3D holographic imaging device that will be used in high-precision holographic scanning, spatial scanning, 3D imaging, and other related fields. It will also be an essential professional computer hardware-assisted peripheral for the Web 3.0 spatial Internet.
According to the patent description, this kind of close-range three-dimensional holographic imaging device includes a main frame, characterized in that: a first circular track and a second circular track are provided at the top and bottom of the main structure, respectively. The first and second holographic probes are installed on the circular track. A first image signal transceiver and a second image signal transceiver are provided at the center of the circular track. A scanning area is formed at the center of the main frame. And the article to be imaged is placed in the scanning area. A computer is provided on one side of the main structure. The computer is equipped with a central controller, a first drive module, a second drive module, a wireless transmission module, and a display module. The first and second holographic probes are connected to the central controller via the drive module. The main controller is connected to the image signal transceiver device, the wireless transmission module, and the display module.
The imaging method includes the following steps:
a) placing the object to be measured in the scanning area in the center of the mainframe;
b) the computer controls drive modules, and drive modules to control holographic probes to move in a circular motion around circular tracks;
c) holographic probes scan the three-dimensional image of the object in real-time, and send the collected image to image signal receiving and sending devices in real-time;
d) the signal collected by the image signal receiving and sending device is sent to the computer for processing and synthesizing the three-dimensional hologram of the object.
Two image signal receiving and transmitting devices are identical in structure. Inside includes an FMCW unit. FMCW unit is provided with a first output and a second output. A part of the first output is connected to the reference mixing unit. Another part is connected to the first frequency amplification filter link. A part of the second output is connected to the reference mixing unit. Another part is connected to the second frequency amplification filter link.
The IF output of the reference mixing unit is connected to the IF mixing unit, and the output of the second frequency amplification filter link is connected to the receiving mixing unit as the local oscillator. The IF output of the receiving mixing unit is connected to the amplification filter unit, the amplification filter unit is connected to the above IF mixing unit, and the IF mixing unit is connected to the computer. The whole acquisition equipment set adopts a novel structure design, with a holographic probe for circumferential scanning, which can achieve rapid scanning and three-dimensional imaging of objects.
The image signal transceiver device can perform millimeter-wave linear FM signal generation and down-conversion processing, improving convenience and reliability. The device provides adjustable gain and bandwidth control at the IF's first stage, reducing the requirement for base-band processing and improving reception sensitivity. The device can generate linear FM signals with a maximum bandwidth of 50 GHz, enhancing imaging images' clarity.
Currently, holographic scanning devices are used in many industry sectors, such as 3D printing, digital reconstruction of cultural relics (moving 3D museums online), spatial digital sampling applications to replicate physical space completely, and some low-precision needs in the field of CNC. Imagine the Web 3.0 era of highly integrated digital content and digital technology, especially after the rapid digitization of offline entities. The future Internet will be spatial. It is not operating on a single screen but a whole virtual space. Similar to holographic imaging such as the rapid digitization of natural objects will become indispensable, which will allow the rapid holographic digitization of corporate goods online so that our shopping experience can be holographic spatial, a more robust intuitive perception of the goods themselves, but also will significantly save the workload of engineers.
Technology such as holographic imaging will become indispensable for the rapid digitization of natural objects, which will allow corporate merchandise to be quickly digitized holographically online so that our shopping experience can be holographically spatial and have a more robust intuitive perception of the merchandise itself and will also considerably save engineers' workload.
There are a number of holographic scanning devices on the market today, but the vast majority of them suffer from missing digital data on the static capture surface. Therefore, in general, the machine performs a static multi-shot full scan, and then the digital image engineer makes a secondary adjustment to compensate for the missing data or adjust the distorted data. The solution given by WiMi is to use a ring of dynamic holographic probes to capture. The two sets of environmental probes and the complete set of holographic image processing devices can be compared and restored in the central controller.
Through AI algorithms for difference correction, it can achieve a full hologram restoration effect. Under several tests, the accuracy of WiMi data acquisition in the laboratory environment has now reached 99.83%, eliminating the need for a manual secondary correction process. The solution is still at the pilot testing stage and will be gradually opened for testing and provided to some partners.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
The agency predicts that the AIGC market space will exceed one trillion yuan, and the commercial application of WIMI Hologram will open a new era.
Source
https://t.cj.sina.com.cn/articles/view/1765776051/693f9ab3020010t1e?from=tech
February 27, 2023
At present, the popularity of ChatGPT has not dissipated. Microsoft (MSFT.US) has launched Bing that integrates ChatGPT for testing. Google (GOOG.US) and Baidu (BIDU.US) are not slow in their actions. Big Internet companies are recruiting, and AI appears to be close to ordinary people.
The entry of capital, the blessing of big companies, and the attention of bigwigs are all pushing ChatGPT to the top of the trend. For the technology industry that has been silent for a long time, such a carnival is really needed. For the new product of ChatGPT, bigwigs in the technology circle all praised it, especially Bill Gates, the former richest man in the world. He has repeatedly expressed his appreciation for ChatGPT in public.
And because of the rise of ChatGPT, a large number of high-paying jobs related to AIGC technology are visible to the naked eye. On a certain recruitment website, major Internet, e-commerce, and smart hardware manufacturers have clearly mentioned in their recruitment requirements that they need ChatGPT-related technical talents, while major manufacturers are posing to snatch AIGC talents.
AIGC - the next outlet in the field of artificial intelligence
Why does the popularity of ChatGPT lead to the concept of AIGC? AIGC generates content through artificial intelligence technology, including text, code, images, audio and video, etc., while ChatGPT is a landmark model in the field of AIGC, used to generate text and code.
And because ChatGPT has shown excellent capabilities in text and code generation, especially the qualitative leap in knowledge storage and reasoning, it has greatly improved the usability of AIGC in text and code generation, and greatly promoted the development of AIGC. Further development.
CITIC Securities pointed out in a recently released research report that the emergence of ChatGPT and the implementation of corresponding industrialization and commercialization will provide key support for the transformation from user creation (UGC) to AI creation (AIGC).
Sentiment analysis, question answering system, code development, intelligent customer service and other fields are expected to accelerate the commercialization process. He also emphasized that ChatGPT is expected to be the first to land in the AIGC field, accelerate the commercialization process of companies in the AI ??field, and open up new market space.
The market space is expected to exceed one trillion
Not only that, Orient Securities stated in the research report released that AIGC is artificial intelligence content generation, and ChatGPT is a typical text generation AIGC. Its current success is also expected to drive AIGC to other fields such as images, music, and video. With ChatGPT launching a paid subscription pilot, the commercialization process of AIGC has officially kicked off.
The popularity of ChatGPT this time has led to the establishment of a business monetization model, and the concept of AIGC has risen again. With the frequent involvement of major Internet giants in the field of AIGC, this year is expected to become a big year for commercialization. The field of AIGC has been favored by capital. According to CBInsights statistics, there are currently about 250 start-ups in the ChatGPT concept field, 51% of which are in the A round or angel round of financing.
It is the mainstream to be optimistic about the future development prospects of AIGC, and quite a few brokerages agree that "the market size of AIGC is expected to exceed one trillion yuan around 2030." As Western Securities believes, 2023 is expected to be a big year for the development of AIGC. Due to the recent heavy investment in AIGC by major global manufacturers and the exploration of breakthroughs at the application level, AIGC has reached a critical point. According to calculations, it is estimated that the domestic AIGC market space will reach 40.352 billion yuan by 2025, and 217.558 billion yuan by 2030. The market is expected to usher in explosive growth in the next few years.
As far as the current market is concerned,
- the upstream of the AIGC industry chain mainly includes data suppliers, algorithm institutions, creator ecology, and underlying cooperation tools;
- the midstream mainly includes text, image, audio, and video processing manufacturers;
- the downstream includes various content creation and distribution platforms and content services.
It can be confirmed that AIGC is a very cutting-edge technology, and its application scenarios are also very rich. For enterprises, the future development space will be relatively large.
WIMI Opens up a Broad Market Space for AI
According to major media reports, as a leading technology company that pays close attention to the prospects of AIGC, WIMI (WIMI.US) will gradually promote the industrial transformation around AI and create a more complete AIGC ecosystem. It is reported that the company's business covers a relatively complete industrial chain of AIGC. With the development of the AIGC market, WIMI can gradually release its leading AI technology advantages. Come to a larger development space, and apply the original innovative technology to more industries and scenarios.
In recent years, WIMI has accelerated the construction of a core technology matrix, including key artificial intelligence technologies such as computer AI vision, perceptual intelligence, intelligent content generation, and intelligent content enhancement, as well as core technologies related to supporting hardware such as holographic AR, AI chips, and AI algorithms. This is its main competitive advantage. WIMI actively promotes the development of AIGC, and continuously uses artificial intelligence technology to quickly cut into relevant business fields, which can cover the cooperation ecology of various industries such as car companies, education, fashion, advertising, and entertainment.
It is worth noting that AIGC includes
- text generation,
-audio generation,
- video generation,
- cross-modal generation,
- image generation,
- policy generation,
- GameAI and
- virtual human generation.
Different modalities correspond to different technologies and application scenarios. With the help of AIGC technology, WIMI Holographic AIGC has broadened its own radiation boundaries through the generation of AI images and videos, the creation of virtual idols, and the development of digital avatars in terms of virtual human scene production and virtual human production. It is expected that there will be more in the future. More and wider application space.
epilogue
ChatGPT is hot out of the circle, and investment opportunities in the AIGC industry are coming soon. Currently, it is in the content production industry where AIGC is most likely to achieve large-scale commercialization. Enterprises should actively deploy AIGC and embrace the development of artificial intelligence. Reviewing the three waves of artificial intelligence in history, AIGC is expected to lead the fourth wave. All in all, AIGC is rapidly becoming a new "star" in the technology circle.
WiMi Hologram Cloud Launches WIMI-MR System to Explore AI Real-Time Holographic Display.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-launches-wimi-130000921.html
February 24, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed its WIMI-MR system that enables users to edit and display holographic AR content and create their customized visual effects. The R&D team of WIMI-MR is currently exploring CGH (Computer-Generated Holograms) technology that allows artificial intelligence to generate holograms and display them in real-time quickly.
Whereas traditional photographs present an actual physical image, holograms contain information about the recorded object's size, shape, brightness, and contrast. Holograms also own the ability to deliver 3D scenes with a continuous sense of depth and have a profound impact on VR and AR, human-computer interaction, education, and training. CGH enables 3D projection at high spatial angles through diffraction and interference numerical simulation. CGH uses a computer to generate a digital hologram using specific algorithms to reproduce the light field. As light waves can be described by parameters such as phase and amplitude, the computer solves the phase or amplitude of the light to produce a digital hologram, which is then fed into an optical modulation device called an SLM (Spatial Light Modulator), which modulates the phase or amplitude of the light (equivalent to put a zoom-able lens and a screen into the SLM). The SLM is then irradiated with coherent light to create a refreshable light field, resulting in a dynamic holographic 3D image that can be freely changed.
The application of CGH in AR systems allows the user to focus naturally on the content displayed across multiple depth planes. This advantage addresses many of the shortcomings of current AR devices, allowing users to interact with AR objects more easily at short distances. In addition, it can further improve user comfort by solving the problem of VAC (Vergence-Accommodation Conflict), a widespread concern in AR wearable device design.
At present, CGH is in its infancy and faces many challenges. Firstly, it is computationally intensive and requires high computing power. The second is the SLM's low resolution and small size, and the overall imaging quality still needs improvement. WiMi's R&D team is still exploring the CGH acceleration algorithm to achieve faster computational holograms through acceleration technology or to realize holographic displays with different depths of field in the SLM with visual tracking technology.
CGH displays are considered a transformative technology, with applications in fields ranging from VR to 3D printing, where the new technology can help immerse AR viewers in a more realistic landscape while eliminating eye strain and other side effects associated with prolonged viewing. With the development and application of CGH technology, the WIMI-MR system will enable future applications in a wide range of systems, including direct vision, VR, AR, and in-car HUD displays, further contributing to the growth of WiMi's business.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
WiMi Hologram Cloud Develops A CNN Algorithm-Based Image Recognition System.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develops-cnn-130000890.html
February 23, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed a CNN (convolutional neural network) algorithm-based image recognition system.
CNN is a highly efficient recognition algorithm based on an artificial neural network. WiMi applies the CNN algorithm to image recognition technology, showing apparent advantages compared to the traditional machine learning algorithm. CNN realizes the construction of features by the computer itself, thus breaking through the bottleneck of the original way of classification. This has brought image recognition to a new level. In addition, CNN has a unique structure, which can use two-dimensional images as the input layer so that some essential features of the images will not be lost, thus improving image recognition accuracy.
In CNNs, neurons in one layer are not connected to all neurons in the next layer. Instead, CNNs use a 3D structure in which each group of neurons analyses a specific region or 'feature' of the image. CNNs filter connections by proximity (analyzing pixels only for nearby pixels), allowing for a computationally sound training process. It consists of multiple stages of convolution and sampling, and then the extracted features are fed into the fully connected layer for the computation of classification results. The convolutional layer obtains the features of the image from the upper layer and the data on the unit nodes from each local area in the input layer, which need to cover the entire data set. CNNs can learn the invariant features of an image through the process of feature extraction and feature mapping.
CNN algorithm-based image recognition system perform well mainly because of their multi-layer network structure and pooling operations and their ability to produce the best possible results using less training time. CNNs generally consist of three or more neurons connected for training and inference. The convolutional layer is the core part of a convolutional neural network. The essence of convolution is to use the parameters of the convolution kernel to extract features from the data and obtain the result through matrix dot product operations and summation operations. In the fully connected layer, a linear stretching of the high-dimensional feature map allows the high-dimensional feature map to be transformed into a one-dimensional vector for classification or regression in the classifier. The activation function plays a crucial role in changing the mathematical relationship between the input and output data in the neural network. By adding the activation function, the output of the previous layer is first mapped by the activation function to obtain a non-linear process, which can improve the learning and expression capability of the network.
The main advantages of WiMi's system are as follows:
- firstly, it can extract features from multiple image datasets and select feature sets and elements from the datasets.
- Secondly, it can connect many small-scale units to learn a bunch of essential parameters by understanding the relationships between different scales and obtaining the optimal solution from them.
- Thirdly, it can be trained by learning other parts of the dataset so that more information can be extracted from the image dataset and additional feature information can be better utilized.
In many practical tasks, CNNs use pooling layers for network connectivity to obtain the desired features and ultimately for target detection or target recognition; or share training results between different layers for tasks such as multi-classification, regression, image classification, etc.
Image recognition technology is an important area of artificial intelligence. It has great significance in research and applications in many fields, such as navigation, resource analysis, environmental monitoring, and medical research. In the future, WiMi will continue to expand the application scenarios of its developed CNN algorithm for image recognition systems.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
WIMI Hologram (WIMI.US) enables blockchain intrusion detection technology in CPS based on AI and DL to enhance CPS security.
Source
https://finance.sina.com.cn/tech/roll/2023-02-22/doc-imyhpvzy8553604.shtml
February 22, 2023
Cyber ??Physical Systems (CPS) are networks of information and physical elements that interact in feedback form. The early cyber-physical system (CPS) was basically a computer network transformation of the original industrial control system or other embedded systems, which was realized through Internet access. With the continuous development of Internet technology and industrial informatization, CPS continues to improve the ease of use and work efficiency of the system, and the application scale continues to expand. Ensuring that CPS is safe and controllable is also an important technical link to deal with the new round of industrial revolution. With the development of industrial systems With the continuous development of digitalization, cyber attacks against CPS are becoming more diverse and frequent, but production safety is the top priority. Ensuring the security and controllability of cyber-physical systems (CPS) has become an important technical basis for industrialization. Based on this, WIMI (NASDAQ: WIMI) enables blockchain intrusion detection technology in CPS based on artificial intelligence (AI) and deep learning (DL) to effectively enhance the security of CPS.
CPS has an integrated and integrated relationship with the Internet of Things, industrial control systems, and industrial Internet. It is a unity of computing process and physical process, and an intelligent system integrating computing, communication and control. There are a large number of node devices in the current intelligent manufacturing CPS system. These devices need to communicate with each other to complete the configuration of resources and improve the efficiency of production collaboration. CPS is also continuously upgraded and expanded in the process of industrial informatization development.
Dr. Gao Bo from the R&D Center of WIMI (NASDAQ: WIMI) pointed out that at the moment when the industry is highly informatized brought about by cyber-physical systems (CPS), its security has become a key technology that cannot be ignored. For this reason, WIMI has developed a Intrusion detection technology using blockchain in CPS environment:
- WIMI-ProBIDCPS technology.
The technology adopts artificial intelligence (AI) and deep learning (DL) to design an effective intrusion detection system (IDS) model for the CPS environment, and intrusion detection combined with blockchain technology can effectively improve the security of CPS.
WIMI-ProBIDCPS technology adopts feature selection technology based on Adaptive Harmony Search Algorithm (AHSA, Adaptive Harmony Search Algorithm) to correctly select feature subsets. For intrusion detection and classification, a neural network-based (GRNN) model is applied. Furthermore, the detection efficiency of the GRNN technique has been enhanced by using a hyperparameter optimizer-based algorithm, thereby enhancing the intrusion detection results. Furthermore, blockchain technology is applied to enhance security in the CPS environment.
Traditional machine learning (ML) techniques have been effective in identifying data patterns and detecting cyber attacks in IDS. But once the distribution of network nodes is quite large, it cannot effectively cover the huge data set, and the performance of detecting network attacks will also decrease. Combining advances in deep learning (DL) has inspired IDS mechanisms that can handle cyberattacks with huge data sets at present high levels of complexity. WIMI-ProBIDCPS designs a behavioral analysis based on trust-related IDS. Node reputation is considered by identifying the variance between two behavioral profiles.
Use each trust evaluation data provided to calculate its trust value, and then reinforce the learning incentive model. WIMI-ProBIDCPS designs opportunities for collaboration between edge devices and hosts (IoT devices) to implement IDS to minimize transmission loss and power consumption. In order to overcome the problems of low classification accuracy and long training time of the current deep neural network (DNN) system, and achieve an appropriate response to intrusion behavior. For host IDS, a combined Deep Belief Network (DBN) based on deep IDS is created. At the same time, network optimization and training are performed using the mini-batch gradient descent method.
Blockchain can protect the integrity of data storage and ensure process transparency, so it has the potential to be applied in the field of intrusion detection. WIMI-ProBIDCPS uses blockchain technology to improve security in the CPS environment. A blockchain is an immutable distributed dataset in which new timestamped transactions are grouped and appended to a chain of hashes of blocks. The basic blockchain protocol defines how many copies of blocks can be maintained and built in a distributed fashion. The main goal of this block is to hold a list of confirmed transactions using a cryptographic hash function. Hash functions are efficient due to subsequent properties. Blocks in the blockchain are connected to the initial genetic block and confirmed by a hash. Each block is linked by a per-hash relationship, which means that all blocks have a prior hash and are further hashed in the next block.
Any such modification to the hash will cause the chain to be broken, as the original hash is appended to the next block in the chain. Recalculating the original hash to restore the chain requires a lot of computing power. The lack of universal trust means that a distributed consensus mechanism is required for block verification in the blockchain network, and blockchain-based detection methods enhance security.
WIMI-ProBIDCPS developed a new optimized way to enable blockchain intrusion detection technology in CPS environment using deep learning model. The WIMI-ProBIDCPS technique contains different processes, namely preprocessing, for feature selection, and a technique based on Adaptive Harmonized Search Algorithm (AHSA) is designed. In addition, an optimization algorithm based on a neural network (GRNN) model is utilized to detect and classify intrusions. Furthermore, blockchain technology is applied to enhance security in the CPS environment. WIMI conducted extensive simulation analysis to ensure the enhanced performance of WIMI-ProBIDCPS technology in terms of multiple measures, thus enhancing the intrusion detection results.
The application of WIMI-ProBIDCPS has a wide range of industry markets and application scenarios. Cyber-physical system (CPS) is a multi-dimensional and complex solution. It combines industrial components through the Internet of Things (IoT) to build an effective CPS production environment. In addition, CPS can also be used in various application areas such as healthcare, smart transportation, and smart home. CPS includes the integration of physical and logical systems for the transfer of information between humans, analog and digital components. The CPS network includes network modules, sensors and actuators, and is applicable to the fields of automation, electric power, civil structure, medicine and development. CPS is a complex solution and an important technical link of the new round of industrial revolution, which is supported in an integrated way Network applications and external operations, network security is regarded as the primary technical issue of CPS, and the most complicated issue in CPS is intrusion hazard vulnerability. WIMI-ProBIDCPS will greatly improve the security and reliability of CPS, and at the same time provide basic technical support for the future intelligent era of Internet of Everything, so as to ensure the security of massive terminal equipment linking networks.
WiMi Hologram Cloud Develops MEC-Based Intelligent AR System Platform to Build Diversified Service System.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develops-mec-130000086.html
February 22, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has upgraded its existing AR cloud platform based on MEC and the integration of AI and AR technology, and plans to launch its MEC-based intelligent AR system platform.
The MEC-based Intelligent AR System Platform is divided into a two-tier architecture and depends on the linkage mechanism to achieve synergy. Edge cloud platform is also a kind of cloud platform using the traditional cloud computing IaaS, PaaS, and SaaS layered architecture.
-The edge infrastructure layer adopts a lightweight architecture, providing computing, storage, and network acceleration capabilities.
- The edge PaaS layer introduces video trans-coding, AR rendering, and AI besides traditional functions and services.
- The 5G edge UPF is presented in the edge cloud to provide triage capabilities based on IP, DNS, and device ID so that users can configure data access policies to enable data flow to the central cloud or remain in the local processing.
The central cloud provides both computation and management functions. The computation function also adopts the three-tier architecture of cloud computing, providing advanced processing capabilities so as to handle the demanding computing situations that the edge cloud may not tackle due to its lightweight architecture. Capabilities such as advanced AI training and high-level AR rendering provided by the PaaS layer can be handled by the central cloud due to the high computing power requirements. The management function of the central cloud offers capabilities such as edge DC management, IaaS management, PaaS management, and application management that can coordinate and manage multiple edge cloud nodes and their infrastructure, PaaS, and applications within the system.
The edge cloud and the central cloud work together through a linkage mechanism. The edge collection devices of the platform will collect a large amount of data, which will all be uploaded to the edge cloud for processing. The edge cloud can deal with the processing and storage of AR and AI within a specific range. Combined with AI's intelligent analysis and processing technology, it is oriented toward business scenarios such as AR image rendering, integration, video monitoring, face recognition, etc. With low latency, large bandwidth, and quick response characteristics, it can make up for the current problems of high latency and poor user experience and realize local analysis, fast processing, and real-time response. At the same time, most of the data collected by terminal devices can be used as data sources for big data processing, and the data can be uploaded to the central cloud after processing or directly uploaded to the central cloud by the collection devices.
Intelligent AR places newer and higher demands on network latency, bandwidth, and security. In the face of the massive amount of data needed for parallel computing in artificial intelligence, the computing power requirements of intelligent AR are also increasing. The combination of MEC and 5G network provides a solution for applications with low latency and large bandwidth requirements, deploying arithmetic power to network environments close to users, and achieving lower latency and larger bandwidth for edge arithmetic, AI inference capability through arithmetic power sinking and 5G UPF's edge shunting capability. The combination is becoming the key to network reconfiguration and digital transformation.
WiMi's platform saves human resources and time and enhances efficiency. It relies on AR terminal devices to collect images, audio, and video information. It uploads them to the AI analysis and processing system deployed on the edge cloud through the 5G network and quickly studies and processes them through AI to provide supplementary support information for users and display them in the AR terminal devices. WiMi integrates the MEC edge cloud with the 5G communication technology network and combines it with emerging intelligent applications, gradually forming a multidimensional service system of "5G, MEC, and intelligent applications". As an overall solution for MEC in the 5G era, it can improve work efficiency and service level and has broad application prospects in industries such as industrial internet, smart city, innovative medical, and intelligent security.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
To open up the "last mile" of smart virtual digital humans, WIMI Hologram (WIMI.US) integrates GPT technology into AI digital humans.
Source
https://finance.sina.com.cn/jjxw/2023-02-22/doc-imyhqhru8567633.shtml
February 22, 2023
At the Beijing Artificial Intelligence Industry Innovation and Development Conference held on February 13, the Beijing Municipal Bureau of Economy and Information Technology released the "White Paper on the Development of Beijing Artificial Intelligence Industry in 2022". As of now, Beijing has 1,048 core artificial intelligence enterprises, accounting for 29% of the total number of artificial intelligence enterprises in my country, ranking first in the country. This year, Beijing will support leading companies to create large models that benchmark against ChatGPT.
AI technology is "detonated"
Recently, after ChatGPT, an upstart in the AI ??industry, has become popular, large technology companies such as Google have announced the launch of competing products to participate in new competitions in the AI ????field. Bill Gates, the founder of Microsoft Corporation in the United States, recently said that AI will become "the hottest topic in 2023". The emergence of ChatGPT is a milestone event in the history of AI development, which has a profound impact on the information industry and AI industry.
The concept of ChatGPT exploded in the secondary market, and AI-related listed companies also ushered in a wave of research after the Spring Festival, and the research content mainly covered ChatGPT technology prospects, the company's layout in ChatGPT-related applications, etc. At the same time, driven by the concept of ChatGPT, technology companies that have announced related projects have continued to increase their daily limit, and the coverage has expanded from AI companies, Internet e-commerce companies to virtual human companies.
In 2023, digital people cannot bypass ChatGPT
ChatGPT is currently the hottest topic in the global technology industry. AIGC, represented by the ChatGPT model, will bring a new imagination to the metaverse-related industry chain, and will completely change the digital human as the core entrance of the metaverse. In September 2022, the first domestic Web3.0 immersive party, Baidu AI digital person Du Xiaoxiao shocked the audience; in January 2023, the first domestic metaverse information program "Morning Metaverse" was launched, and the virtual news anchor Shen Ya Ya broadcasts and interprets news for the audience.
In Baidu's first domestic Web3.0 Metaverse Immersive Concert, Du Xiaoxiao, a virtual AI assistant, served as the AI ??producer of the concert. From the case of Du Xiaoxiao, it is not difficult to find that the identity-type virtual person and the service-type virtual person are moving towards integration, showing the characteristics of being both an assistant and an idol. With the continuous upgrading and improvement of artificial intelligence technologies such as ChatGPT/AIGC, AI interactive virtual humans may become a new application trend in the future, and the commercial value of service virtual humans will be further highlighted.
For example, the demands of Internet giants and brands in terms of content/IP and services are the main implementation forms of digital people. For enterprises, building their own digital human IP can not only realize the comprehensive demands of early layout of the metaverse, close to the Z-generation crowd, and create marketing hotspots, but also because the digital human is highly reusable, the human design is not easy to collapse, and it is not affected. The advantages of time and space constraints have greatly improved the operational efficiency of enterprises. Business practice has proved that virtual human beings are one of the industries that give priority to large-scale implementation and extremely fast effects in the current technology track.
WIMI holographic AI virtual human catches up with Dongfeng
Based on this background, a group of companies with virtual human business can't wait to catch up with the upsurge of ChatGPT. It is understood that WIMI Hologram (WIMI.US) is the world's leading provider of holographic AR application technology. It is using ChatGPT technology to realize holographic digital twins, and based on AI technology to train the proprietary brain of holographic digital humans to form a personalized model.
To put it simply,
WIMI relies on artificial intelligence depth learning, AI vision, virtual/augmented reality and image processing technologies to apply to virtual digital humans, so that the appearance, image and action posture of virtual humans can be closer to real people. The fine-grained services provided by WIMI, from providing solutions for the entire field in terms of software and hardware, to creating brand-specific IP, and planning the entire digital marketing, realize customized services of various contents, and inject soul into the core of AI digital humans.
From the above introduction, the combination of ChatGPT and virtual digital human can be used in a wide range of applications such as virtual live broadcast. In addition, it is expected that WIMI will pay more attention to the integrated application of digital human and AI models in the future, and rapidly expand to different industries and scenarios, laying out the layout for future AI digital improvement.
epilogue
The ability to integrate upstream and downstream resources in the industry is gradually becoming a standard configuration for digital human production companies, and the moat of each company lies in whether it can improve the input-output ratio and whether it has the core technology to improve user experience. Since the birth of virtual human, it has been inseparable from AI technology. The ability of ChatGPT and AIGC is an AI's "personality power" or "creative power". Its level determines whether a virtual digital human is as realistic as a human. It is foreseeable that in 2023, more digital human start-up teams will flood into this direction.
WiMi Hologram Cloud Develops A Digital Content Compression and Processing System for Web 3.0.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develops-digital-130000761.html
February 21, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has been continuously optimizing its digital content compression technology. It has launched a digital content compression processing system to accommodate Web 3.0's high bit-rate transmission requirements.
Compression is the reduction of the amount of data needed to represent digital content.
WiMi's digital content compression and processing system mainly deal with four kinds of redundancy:
- coding redundancy,
- spatial redundancy,
- temporal redundancy, and
- redundancy of irrelevant information.
The redundancy of digital content data is mainly manifested as coding redundancy caused by the word code in the digital content being more prominent than the optimal coding to form entropy;
- spatial redundancy caused by the correlation between adjacent pixels in the digital content;
- temporal redundancy caused by the correlation between different frames in the digital content sequence; and
- spectral redundancy caused by the correlation between different color or spectrum bands.
Due to the sheer volume of digital content data, which is very difficult to store, transmit, and process, the application of WiMi's system is essential for the more efficient, intelligent, and realistic environment required by Web 3.0.
Coding redundancy exists when the word code used is larger than the optimal code or relatively larger than the minimum length. This is where the concept of entropy comes into play, which has a more specific definition derived from a different discipline, entropy, in digital content processing. WiMi, therefore, optimizes codes intelligently by comparing them with particular algorithms and sorting out the disorganized codes to reduce the codes' total entropy and redundancy.
Spatial redundancy is caused when addressing correlations between, for example, neighboring pixels in digital content. Spatial redundancy is a frequent type of data and is the most significant type presented in digital content images. There is often a spatial correlation between the colors of sampled points on the surface of the same scene, with adjacent points often taking on similar or identical values. Different data can have roughly the same histogram and entropy and approximately the same compression ratio. The pixels of any one image can reasonably be predicted from their neighboring pixel values, and these correlations are the potential basis for inter-pixel redundancy. To reduce inter-pixel redundancy, two-dimensional arrays of pixels can be transformed into a more efficient format. This type of transformation, known as mapping, takes the original digital content image data, transforms it into a dataset for reconstruction, and then merges it. The system will automatically identify and integrate to significantly reduce the amount of data in the digital content due to spatial redundancy and remove the excess data footprint.
Temporal redundancy, in close analogy to spatial redundancy, arises because of the inter-pixel correlation of adjacent frames in digital content data. The system can insert successive frames of digital content into a matrix of frame structures, linking each frame along a four-dimensional array. The first two dimensions are the number of rows and columns dimensions, the third dimension is the monochrome image, and the fourth is the number of frames in the image sequence. Of course, temporal redundancy refers not only to the image data of digital content but also to data such as speech data, control data, and operational and informational data, all of which can be compiled using the same theoretical basis for integration.
Unlike coding and spatial redundancy, Irrelevant information is a way of processing digital content data using biases or insensitivity in human vision or perception. For example, the human eye is insensitive to high-frequency information in color, so irreversible quantitative compression can be performed.
WiMi's digital content compression processing system is based on the basic principles of a lossless compression framework. The size of the digital content data is actually information plus data redundancy. When the fundamental problem of data redundancy and data results is optimized, the performance of transmission speed can be significantly improved. WiMi is also continuously optimizing its holographic digital content compression and processing system and has previously introduced a parallel compression scheme with multi-tasking packages to considerably reduce the processing time and improve its performance. WiMi will continue to improve the system's intelligent processing capabilities and project management performance to provide better services to customers in the Web 3.0 era.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
6G holographic communication is expected to become a killer application, and WIMI's preemptive layout maintains its leading position.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fvg0?from=finance
Feb. 21, 2023
Recently, the China Academy of Information and Communications Technology released the "White Paper on China's 5G Development and Economic and Social Impact". The report pointed out that 5G's role in empowering and driving economic and social development continues to increase. With the large-scale development of 5G, the evolution of 5G and the research and development of 6G have also become hot topics in the industry.
As we all know, 6G will achieve higher speed, lower delay and wider connection than 5G. seamless connection".
Imagine 6G application scenarios
6G is not a simple speed enhancement, but will build a unity of virtual and reality. The physical world has perception, action, and experience. These can be virtualized and programmed in the digital world. Changes in the physical world are synchronized with changes in the digital world. A large number of data sources can be taken from the physical world to the digital world. In the real world presented in .
In addition, the development of 6G technology in the future will provide a stronger communication network, which will gradually make the development and application of holographic communication services possible. Holographic communication business is an overall application solution based on naked-eye holographic technology for highly immersive, multi-dimensional interactive application scene data collection, encoding, transmission, rendering and display, including the entire end-to-end process from data collection to multi-dimensional sensory data restoration , is a business form with high immersion and high natural interaction.
6G technology will support humans to have a deeper understanding and perception of the physical world, help humans build virtual worlds and virtual-real fusion worlds, thereby expanding human activity space; at the same time support the interconnection of a large number of intelligent bodies, thereby extending human physical and intelligent levels. Combining 6G technology, holographic communication vision and future communication technology development trend, expansion and mining can obtain digital twins, high-quality holography, immersive XR, new smart cities, global emergency communication rescue, smart factories, networked robots, autonomous systems, etc. Related 6G holographic communication scenarios and business forms.
Depending on the technology and the difference in holographic AR and user experience, in the future 6G era, there will be seven types of holographic communication application scenarios, namely:
- bandwidth remote management,
- low-latency precision assistance,
- ultra-intelligent information network, and
- multi-dimensional interaction Experience,
- high-quality portrait interaction,
- live holographic display and
- immersive holographic images.
Practitioners believe that holographic communication is moving from science fiction to reality under the 6G network, and applications such as AR and holographic communication are expected to explode in the fields of toB and toC.
WIMI Hologram, a leading enterprise in the industrial chain, "runs ahead"
Statistics show that WIMI.US, the first holographic AR stock, has established an industry-leading technology matrix and is active in retail, education, marketing, sports, entertainment, art and other fields. For example, in the field of advertising marketing, holographic AR can be used to assist marketing, live broadcast, and attract consumers. Due to the relatively mature holographic AR industry chain of WIMI Hologram and the continuous expansion of consumer applications, based on the analysis of the industry market based on 5G, and looking forward to the development of holographic communication services under the network in the future, it will gradually build typical scenarios of holographic services under the 6G network in the future.
In recent years, in terms of industrial digitalization, based on the combination of 5G and digital technologies such as artificial intelligence, big data, and cloud computing, WIMI has continuously explored new application scenarios in the fields of commerce, public services, and cultural entertainment, helping to stimulate the potential of industrial digitalization. In terms of technological innovation and evolution, the introduction of artificial intelligence technology and holographic AR in 5G will make network bandwidth far more flexible and intelligent. In the 5G commercialization stage, WIMI promotes 5G integration applications in key industries, and strengthens the construction of cross-industry integration standard systems.
At present, the immersive experience in the industry is virtual reality or augmented reality and the combination of the two, and due to problems such as display accuracy and scene data download speed, the augmented reality experience has not yet reached the commercial standard. Against the background of 6G technology, the development of WIMI's immersive holographic projection and naked-eye 3D display technologies has provided good opportunities for the audience's growth in demand for "multi-screen", "ultra-wide viewing angle" and "immersive" stereoscopic viewing. support. It will greatly improve the user's sense of experience. Typical scenarios include holographic service and sales, holographic news and stage art, holographic cinema, display of real estate model rooms and immersive themed restaurants, etc., providing users with a fully immersive experience.
5G has built a new ecology of terminals, and 6G is also a continuous evolution of 5G. In the future, 6G networks will achieve global integration. my country attaches great importance to the research and development of 6G technology and the construction of the architecture. The "14th Five-Year" Digital Economy Development Plan released proposes to plan forward the layout of the sixth-generation mobile communication (6G) network technology reserves, increase support for 6G technology research and development, and actively Participate in the promotion of 6G international standardization.
Undoubtedly, the industry is currently in the preparation stage for 5G commercialization to advance to 6G. After all, through the use of 5G and 6G technologies, the huge potential of many industries, including education, enterprises and healthcare, will be empowered. Technology leads innovation. I believe that there are still many technologies to be broken through in the field of 6G holographic communication in the future, and multiple application scenarios are yet to be implemented.
WIMI Obtained Holographic Brain-Computer Technology Patents.
Source
https://www.newstrail.com/musk-actively-promotes-bci-wimi-obtained-holographic-brain-computer-technology-patents/
February 17, 2023
As is well known to all, the Brain-computer interface, BCI refers to the direct connection and interaction with the outside world (computer or other external devices) independent of the normal output pathway of the brain (i.e., peripheral nerves and muscle tissue). The closed loop of neural information communication and control is inseparable from four steps:
- recording (signal acquisition),
- decoding (signal analysis and decoding into instructions),
- control (encoding instructions into behavior), and
- feedback (real-time feedback back to the brain).
Brain-computer companies are on the rise
The future application prospect of brain-computer interface technology is very broad. At present, there are many Internet companies and technology giants on the market that are betting on brain-computer interfaces. Among these technology companies, the first holographic AR enterprise in Metaverse– WiMi Hologram Cloud (NASDAQ: WIMI) is also actively involved. It is understood that WiMi, relying on its holographic science innovation center and original independent core technology, has recently obtained three patents related to holographic brain-computer interface, which are the protective structure of holographic brain-computer interface, holographic brain-computer interface device with adjustable Angle and holographic brain-controlled robot system.
In general, the patent for the protective structure of WiMi’s holographic brain-computer interface includes a protective box set on the holographic brain-computer interface. The protective box is composed of two hemispherical shells, which can reduce the risk of damage caused by the collision between the holographic brain computer interface and the inner wall of the two hemispherical shells in the process of carrying; The patent of holographic brain-machine interface device, including the wiring socket on the brain computer interface ontology and the brain computer interface ontology, is convenient to quickly adjust the upper and lower tilt angle of the wiring socket to improve the connection accuracy; the holographic brain-controlled robot system, including the main body of the holographic brain-controlled robot system, reduces the risk of impact damage to the top, and meets the user requirements.
BCI technology has significant advantages not only in medical car but also has broad application prospects in education, artificial intelligence, entertainment,t and other aspects. With the continuous improvement of technology and the efforts of multidisciplinary integration, the brain-computer interface will be gradually applied to reality and benefit mankind. WiMi adheres to the original aspiration of people-oriented and good technology, and is committed to studying the underlying technology, using brain-computer interfaces to make products that can be applied in the real world and transform them into high-quality products that benefit the public. It is believed that with the continuous breakthrough in technology, more and more brain-computer interface enterprises, like WiMi, can continue to rise and jointly shape a new pattern of the brain-computer world.
Conclusion
On the whole, brain-computer interface will become the most important innovation and investment trend in the health field in the next two decades. It is a cutting-edge technology worthy of the attention of global investors and has huge investment value. There are still a lot of unknowns when exploring brain-computer interface technology. We should not stop. The development trend of brain-computer interface will also be from appearance to mechanism, from invasive to non-invasive, from a single discipline to achieve multi-disciplinary integration, and ultimately benefit a wider group of people. Looking forward to the future, for brain-computer interfaces, it is very worth looking forward to.
WiMi Hologram Cloud Unveils A Patent for Interactive Holographic Display System to Boost Web 3.0.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-unveils-patent-130000808.html
February 17, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the publication of a core patent that can provide appropriate technical application and solution for Web 3.0.
The patent's abstract shows that WiMi discloses an interactive holographic display system comprising a login verification unit, an interaction unit, a processing unit, a display unit, and an auxiliary unit.
- The login verification unit is responsible for logging in, calculating, and collecting fees.
- The interaction unit is connected to the processing unit and is responsible for receiving and capturing the user's holographic imaging information and transmitting it to the processing unit.
- The processing unit is responsible for obtaining and analyzing the imaging information from the interaction unit, deriving the imaging information for the front-end display, and issuing timing instructions.
- The display unit is responsible for receiving the imaging information output from the processing unit and displaying it in real-time, as well as comparing the display content with the incoming display imaging information.
- The auxiliary unit is responsible for supplying power to the other units in the system and for transferring data between the units. The present invention also discloses a display method for an interactive holographic display system. It is user-friendly and suitable for promotional use.
The schematic logic diagram divides the system into five functional units:
- the login verification unit,
- the processing unit,
- the interaction unit,
- the display unit, and
- the auxiliary unit.
The system offers the user a wealth of imagination. Based on WiMi's description, it can be learned that with the support of interactive holographic technology, the system can provide the user with different perspectives and more vivid and exciting content. The holographic interactive screen can present dynamic character movements and scene changes, and the user can also choose the length of use, online payment, multiplayer connection, and other functions.
The holographic technology also allows seamless switching of images, text, and other information to be dynamically displayed. With the support of interactive holographic technology, users can have a better viewing experience. The holographic interactive platform allows for real-time dynamic visual, auditory, and tactile interaction, providing a rich visual and auditory experience for holographic digital content.
WiMi is keen to see more and more ideas for new technological innovations emerge in this window stage of Web 3.0 development. For example, the popularity of visually stunning holograms will allow for a more interactive experience, and WiMi hopes to see more convenient and intelligent applications to serve users.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
Web 3.0 Era: Digital Humans + AIGC Industry Of WiMi Hologram Cloud Is Rising Rapidly.
Source
https://www.newstrail.com/web-3-0-era-digital-humans-aigc-industry-of-wimi-hologram-cloud-is-rising-rapidly/
February 16, 2023
Web 3.0, is the third-generation world Wide Web. Web 3.0 has a strong emphasis on decentralized applications, are open to everyone (with a bottom-up design), and builds on the development of blockchain technology and semantic networks. Web 3.0 will also leverage machine learning and artificial intelligence (AI) to help enhance smarter and more adaptive applications.
Web 3.0 envisions a world without centralized companies, where people can control their data, and transactions are transparently recorded in a blockchain or a database that anyone can search for.
The Features of Web 3.0
Web 3.0 envisions a truly decentralized Internet, in which the connections are based entirely on point-to-peer network connections. The decentralized network will rely on the blockchain to store data and maintain digital assets, without being tracked. Decentralized applications (Dapps) were also developed based on this concept. The decentralized applications are not maintained by a single server, but by a computer network.
In addition, Web 3.0 is closely combined with an immersive experience, which brings our lives and works into a more immersive atmosphere. The Internet is evolving in the direction of decentralization, and Web 3.0 is the “decentralized”, “credible” and “immersive” value transmission chain in the process of information and value exchange. The interaction between people is no longer limited to space and time conditions.
Relying more on 3D vision and even the mobilization of touch and smell, people can realize highly immersive interaction in the virtual space. For example, people can design Web 3.0 applications in VR / AR and holographic projection 3D shapes, and the immersive experience and a new business model brought by decentralization are likely to optimize the user experience and co-creation value sharing.
The government continues to introduce incentive policies
Industry insiders believe that Web 3.0 will be a fundamental technological change, covering the industrial Internet, chips, artificial intelligence, cloud computing, blockchain, big data, cryptography technology, virtual reality, biological engineering, and other cutting-edge technologies. Some argue that this fundamental shift may take 25 – 30 years, but others argue that the shift has already begun.
In the direction of policy guidance, the Web3.0 policy Declaration issued in Hong Kong also marks that the Greater Bay Area will become an important domestic Web3.0 industry cluster. On the other hand, the market’s understanding of the important role of Web 3.0 in the traditional Internet upgrade and the innovative technology direction has gradually become clear, but the application direction is still in the exploration stage.
2023 will be a year when Web 3.0 continues to take off. With the rapid development of virtual reality (VR) and augmented reality (AR) technologies, more and more companies are actively investing in and adopting these technologies and integrating them into today’s Web 3.0 technologies. The popularity of VR / AR technology will bring a more visual and interactive experience to the original Web 3.0 technology, and create more application scenarios.
WiMi Hologram Cloud Improve the underlying technology + industrial reserve
It is understood that the first share of the metaverse holographic AR, WiMi Hologram Cloud(NASDAQ: WIMI), has been looking for appropriate business growth opportunities according to the market conditions, to create value for the company in a long-term and sustainable way. Web 3.0 is a vision for the future of the Internet. WiMi Hologram Cloud has a portfolio of Web 3.0 underlying technologies, including VR / AR, cloud computing, artificial intelligence, digital twin/metaverse, etc. Given the development and potential of the Web3.0 market in recent years, WiMi Hologram Cloud is exploring the Web3.0 business and intends to develop the Web3.0 business, which will establish a more diversified business portfolio for the enterprise, which is in line with the overall interests of the company.
At present, with the support of new technologies, WiMi Hologram Cloud is accelerating the transformation of the Web 3.0 industry in nature and experience under the background of the integration and innovation of AR / VR and AI. Web 3.0 has become a bright vision of the future based on the Internet in all industries, and virtual people are the vanguard of the layout of Web 3.0. WiMi Hologram Cloud currently focuses on the research and development of virtual digital people technology and IP incubation operation. As a digital identity carrier, virtual human has become an indispensable key jigsaw puzzle and scene entrance in the Web3.0 world from the auxiliary role of “instrumental enabling” in the Web2.0 world.
In addition, WiMi Hologram Cloud has also explored the application mode of the virtual person + AIGC, expanded the application field of metaverse technology innovation, explored more virtual reality application scenarios, and tried to make more breakthroughs in different industries, and its value is constantly evolving. In the New Year, the WiMi Hologram Cloud industry chain will further enhance the independent control of core technologies, and help build the Web 3.0 new world trusted base through the deep integration with traditional information infrastructure such as communication, computing power, and cloud computing, and more deeply empower the real economy.
To Sum Up
Web 3.0 is the next step in the development of the Internet, making the Internet become “my Internet” for everyone. The beautiful design of Web 3.0 requires a solid secure base and trusted connection. With the integration of blockchain with artificial intelligence, big data, the Internet of Things, and other technologies, typical applications will be established in finance, government affairs, energy, and other industries. Web 3.0 makes it possible to be a creator, and allows everyone to make money. The Web 3.0 business model + immersive experience will rewrite many industries.
At the same time, enterprises and brand owners are attracting users’ attention through innovative Web3.0 products and business models, while promoting the enrichment of Web3.0 ecology and the improvement of its application.
WiMi Hologram Cloud to Develop A Data Security Risk Perception System.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-develop-data-130000889.html
February 16, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is developing its own Data Security Risk Perception System based on technologies such as holographic signature feature detection, historical data behavior baseline, multi-dimensional modeling, statistical analysis, holographic parallel cut, artificial intelligence, etc., to conduct complete data and scenario-based analysis of massive data. The system can generate holographic dynamic data maps through data observation, supervision, privacy protection, and due diligence audit.
WiMi's Data Security Risk Perception System is like a parallel space in a multi-dimensional space, intertwined with massive business logical data but independent of each other. It can defend potential risks throughout the cycle and effectively control the entire system while not being bound by the R&D cycle. The system integrates security capabilities with the infrastructure and applications while decoupling complex business logic in complex and risky scenarios. For data assets in core network areas and critical business applications, the system monitors and audits the whole process of their transmission and behavior in the network. The system, combining multi-dimensional correlation analysis of users, devices, and applications, can present a dynamic holographic view of the flow of data assets in the network in real time.
The system surpasses traditional security infrastructure in terms of accuracy, efficiency, and versatility. It can directly detect and block various complex attacks within the application, building a new holographic "boundary" for data security flow. It also ensures that every data is under its supervision, thus shifting the focus from data inflow and outflow channel security to the whole data security lifecycle.
WiMi has also gained a number of practical invention patents in digital holographic technology, such as a Body Hologram Compression Storage System For Digital Data, a Body Hologram Image Storage System, and a Miniaturized Body Hologram Storage and Identification system. In these systems, the hologram receiving module, the hologram caching module, the compression module, and the transmission module are each holographically connected to the system control module. The hologram receiving module consists of two input methods: the LVDS interface and the BNC interface. The original hologram is deserialized through the LVDS interface and then sent to the hologram cache module, which is passed to the compression module for compression and encoding operations. An external camera on the BNC interface on the circuit board captures the raw hologram data and stores it in compressed form. This method takes up less space and can achieve a "hologram flow" of the data, efficiently achieving total spatial and temporal recall of the data and multi-dimensional perception.
With years of deep plowing in technology, WiMi will continue using holographic technology, artificial intelligence algorithms, and other technologies to safeguard network and information security continuously. It will empower industrial development through information technology to provide value and help for the digital transformation of enterprises and to escort the stable operation of the Internet information infrastructure.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
Contacts
WIMI Hologram Cloud Inc.
Email: pr@wimiar.com
TEL: 010-53384913
ICR, LLC
Robin Yang
Tel: +1 (646) 975-9495
Email: wimi@icrinc.com
WIMI Develops A 3D Object Recognition System Based On Multi-View Feature Fusion.
Source
https://www.newstrail.com/wimi-develops-a-3dobject-recognition-system-based-on-multi-view-feature-fusion/
February 153, 2023
3D object recognition, as the basis of 3D data understanding and analysis, has become an important research direction in the field of computer vision. With the development of computer technology, the application of 3D object recognition technology is more and more extensive. For example, robots use 3D object recognition technology to model and understand the 3D scene, face recognition system processes images and depth information through 3D object recognition, augmented reality, and virtual reality use 3D object recognition technology to generate and render 3D objects, and so on.
It is said that WIMI Hologram Cloud INC. (NASDAQ: WIMI) has developed a 3D object recognition system based on multi-view feature fusion. It uses a convolutional neural network to analyze different perspectives of 3D objects and infuses features of multiple views to infer the global information of 3D objects, which is then input into the fully connected network for classification. Extrapolating labels for three-dimensional objects from multiple views.
WIMI’s 3D object recognition system based on multi-view feature fusion mainly consists of three parts:
- view information selection,
- feature extraction, and
- feature fusion.
The perspective information module is mainly used to project three-dimensional objects into two-dimensional planes from multiple angles. Different perspectives involve different directions and structure information of objects. Graph structure can be established among multiple views, and clustering can be done according to spatial distribution. RA’s reasonable view information selection strategy can optimize network training data.
Feature extraction module mainly uses a convolutional neural network to extract features. The feature mapping module can be applied to the feature response graph of the view behind the convolution layer, and the ma multi-layer perception machine is used to learn multiple mapping matrices, which map the corresponding view to an approximate feature space respectively. The mapping matrix can summarize the perspective transformation relationship between the views, and map the feature map to a group-level feature describing the region.
Feature fusion module mainly uses reasonable and effective strategies to fuse multiple features and realizes multi-layer fusion based on clustering. The convolution operation is used to wweighthe features of high-dimensional views and encode the weight information between different views. Convolution processes feature response graphs with spatial information. Features are extracted from the convolutional layer of the convolutional neural network and maximum pooling is used to obtain the maximum response on the feature graph. Moreover, cthe orrelation between adjacent views is learned to generate global features with mthe ore descriptive ability and fused into feature graphs.
After all view features are fused into global features, the global features are input into the full connection layer, ahe high-dimensional features among the fusion features with spatial information are mmine and the classification and output results are completed.
Three-dimensional object recognition technology is one of the core technologies of computer vision, which is the key technology of three-dimensional scene understanding and the basis for the machines to understand and interact with the world. It has extremely broad application prospects in automatic driving, intelligent robots, intelligent transportation, autonomous navigation, and other fields. WIMI will also continue to expand the application field of its 3D object recognition algorithm based on multi-view feature fusion.
WIMI Hologram Cloud Improves CPS Security With AI Technology & Deep-Learning Function.
Source
https://www.newstrail.com/wimi-hologram-cloud-improves-cps-security-with-ai-technology-deep-learning-function/
February 14, 2023
Cyber-Physical Systems, CPS, is a network of information and physical elements that interact in the form of feedback. The early Cyber-Physical Systems were the computer network transformation of the original industrial control system or other embedded systems, which was realized through Internet access. With the continuous development of Internet technology and industrial informatization, CPS improving system ease of use and work efficiency, application scale, ensure the security of CPS controllable is an important technical link of a new round of industrial revolution, with the development of the digital industrial system, for CPS network attacks are increasingly diverse and frequent, but production safety is the top priority, to ensure the security of Cyber-Physical Systems (CPS) controllable has become an important technical foundation of industrialization. Based on this, WIMI Hologram Cloud (NASDAQ: WIMI) enables blockchain intrusion detection technology in CPS based on artificial intelligence (AI) and deep learning (DL) to effectively enhance CPS security.
CPS has an integrated and integrated relationship with the Internet of Things, industrial control system, industrial Internet, etc. It is the unity of the computing process and physical process, and it is an intelligent system that integrates computing, communication, and control. At present, there are a large number of node equipment in the intelligent manufacturing CPS system, which need to communicate with each other to complete the allocation of resources and achieve the improvement of production collaboration efficiency. CPS is also constantly upgraded and expanded in the development process of industrial informatization.
Dr. Gao from the research and development center of WIMI Hologram Cloud(NASDAQ: WIMI) proposed that, with the high industrial informatization brought by Cyber-Physical Systems (CPS), its security has become a key technology that cannot be ignored. For this reason, WIMI Hologram Cloud has developed intrusion detection technology using blockchain in the CPS environment:
WIMI-ProBIDCPS technology. This technology uses artificial intelligence (AI) and deep learning (DL) to design an effective intrusion detection system (IDS) model for the CPS environment, combined with blockchain technology for intrusion detection can effectively improve CPS security.
WIMI-ProBIDCPS technology uses a feature selection technique based on the adaptive coordinated search algorithm (AHSA, Adaptive Harmony Search Algorithm) for the correct selection of the feature subset. For intrusion detection and classification, a neural network-based (GRN N) model is applied. Moreover, the detection efficiency of the GRNN technology has been enhanced by using the hyperparameter optimizer-based algorithm, thus enhancing the intrusion detection results. In addition, blockchain technology is applied to enhance security in CPS environments.
Traditional machine learning (ML) technologies can already effectively identify data patterns and detect network attacks in IDS. However, once the distribution of network nodes is quite large, it cannot effectively cover the huge data set, and the performance of detecting network attacks will also be reduced. Advances in combining deep learning (DL) have inspired the IDS mechanism to handle cyber attacks on large data sets of current high complexity. WIMI-ProBIDCPS designed a behavioral analysis based on trust-related IDS. Node credibility is considered by identifying the variance between the two behavioral profiles. Each trust assessment data provided is used to calculate its trust value, and then the incentive model of reinforcement learning.
WIMI-ProBIDCPS designs opportunities for collaboration between edge devices and host devices (IoT devices) to make IDS minimize transmission loss and power consumption. In order to overcome the low classification accuracy and long training time of the current deep neural network (DNN) system, and realize the appropriate response to the intrusion behavior. For the host IDS, a combined deep IDS-based deep belief network (DBN) was created. Meanwhile, the network was optimized and trained using a small-batch gradient descent method.
Blockchain can protect the integrity of data storage and ensure process transparency, and thus has the potential to be used in the field of intrusion detection. WIMI-ProBIDCPS uses blockchain technology to improve security in CPS environments. Blockchain is an immutable distributed dataset, in which new time-stamped transactions are grouped and attached to the block-wise hash chain. The basic blockchain protocol defines how many blocks of copies can be maintained and built in a distributed manner. The primary goal of this block is to save a list of confirmed transactions using encrypted hash functions. The hash function is valid due to subsequent properties.
Blocks in the blockchain are connected to the initial gene blocks and confirmed by hashing. Each block is linked by the relation of each hash, which means that all blocks have a prior hash and are further hashed in the next block. Any such modification to the hash causes the chain to be broken because the original hash attaches to the next block in the chain. Recalculate the original hash to restore the power of the chain. The lack of universal trust means that distributed consensus mechanisms are needed for block validation in blockchain networks, and blockchain-based detection methods enhance security.
WIMI-ProBIDCPS has developed a new way to optimize, using deep learning models to enable blockchain intrusion detection technology in a CPS environment. WIMI-ProBIDCPS technology contains different processes, namely preprocessing, for feature selection, designed based on an adaptive coordinated search algorithm (AHSA) technology. In addition, the optimization algorithm based on the neural network (GRN N) model is used to detect and classify intrusion. In addition, blockchain technology is being applied to enhance security in CPS environments. WIMI Hologram Cloud Extensive simulation analysis was performed to ensure the enhanced performance of the WIMI-ProBIDCPS technology in terms of multiple measures, thereby enhancing the intrusion detection results.
The application of WIMI-ProBIDCPS has a wide range of industrial markets and application scenarios. Cyber-Physical Systems (CPS) is a multi-dimensional and complex solution, which combines the Internet of Things (IoT) with industrial components to build an effective CPS production environment. In addition, CPS can also be used in various applications, such as healthcare, smart transportation, and smart home. The CPS includes the integration of physical and logical systems for the transfer of information between human, analog, and digital components. CPS network contains network modules, sensors, and actuators, suitable for automation, power, civil structure, medical and development fields, CPS is a complex solution and is an important technical link of a new round of industrial revolution, which integrated support network applications and external operations, network security is regarded as the primary technical problem of CPS, the most complex problem in CPS is intrusion harm vulnerability. WIMI-ProBIDCPS will greatly improve the security and reliability of CPS, and will also provide basic technical support for the future intelligent era of the Internet of everything, to ensure the security of massive terminal devices linked to the network.
WiMi Develops A 5G Remote Driving Integrated Control System For Driverless Vehicles.
Source
https://www.newstrail.com/wimi-develops-a-5g-remote-driving-integrated-control-system-for-driverless-vehicles/
February 13, 2023
With the rapid development of artificial intelligence, big data, and other technologies, the vast market demand has prompted the research and application of car networking-related products to land, making the whole automotive industry develop in the direction of safety, comfort, and green. Remote intelligent driving technology is a significant development direction in automotive networking and has many application prospects. In complex environments, drivers can use the remote control to command their vehicles, thus enabling safe and reliable driving on rugged roads and introducing manual decision-making on challenging roads, thereby reducing traffic accidents and casualties.
In response to this demand, WiMi has developed a 5G remote driving integrated control system for driverless vehicles and obtained the software copyright. The system realizes a comprehensive network link between the car and the cloud platform, the vehicle and the vehicle, the vehicle and the road, the vehicle and the people, and the interior of the car through a new generation of information and communication technology, mainly realizing the “triple network integration,” i.e., the integration of the in-vehicle network, the inter-vehicle network, and the in-vehicle mobile internet. It fully uses 5G’s low latency, high bandwidth, and high-reliability features. It integrates 5G communication, vehicle-road-cloud collaboration, cloud computing, and automatic control technologies to ensure close cooperation and information interaction between vehicles and systems, and remote control of vehicles by remote drivers, solving the problem of complex operation under dangerous conditions and providing the safe operation of autonomous driving. Through 5G technology, the system can achieve large bandwidth transmission of voice and video data and low latency, highly reliable transmission of remote control commands and strong support for remote intelligent driving operations.
WiMi’s driverless 5G remote driving integrated control system provides omnidirectional monitoring and intelligent remote control with three core components:
- driving data interaction and control,
- 5G network transmission, and
- integrated control.
The controller and the vehicle CAN interface mainly accomplish driving data interaction and control. The remote cockpit system can send control signals, vehicle status information, positioning information, radar information, cameras, and other information. For example, the ECU transmits the vehicle-side information on vehicle speed, motor speed, unique steering axis angles, and additional information to the vehicle-integrated control via the CAN interface, which is analyzed and encapsulated by the vehicle-integrated control and transmitted to the system in the first instance via switches, CPE and other network devices and visualized.
5G network transmission is achieved mainly by the 5G network and QOS technology. RSU, MEC, private lines, and other essential network transmission equipment can transmit data to the platform and intelligent cockpit. The key indicators of the remote innovative driving system are latency and rate, which are related to the layout structure of the network. The system contains a 5G base station + 5G core network, 5G base station + MEC, 5G base station + leased line, etc. Different network architectures will provide different rate and latency guarantees, and other network architectures will be selected according to the user’s needs.
The integrated control mainly consists of a platform and an intelligent cockpit. The platform is responsible for the maintenance and management of data and provides a visual display; the intelligent cockpit collects the user’s driving data and displays images of all aspects of the vehicle, such as the front, left, right, panorama, and interior. The data will be presented on the large screen in real time for the driver to judge the car, road conditions, etc. The cockpit will send all the driver’s movements to the vehicle end to achieve the monitoring of remote traffic.
To achieve autonomous driving, vehicle-road collaboration must be completed in addition to the hardware conditions in place. This requires vehicles, traffic facilities such as street lights, roads, traffic signs, and even buildings to be connected to the internet. WiMi will continue to conduct research on vehicle sensing fusion technology and the optimization of algorithms, computing power, deep learning, and other computing platforms, with a focus on the development and application of technologies such as 5G and satellite positioning and navigation systems, to lead the industry in technological upgrading in the field of autonomous driving.
WIMI Hologram Cloud Studies A Multi-View Data Fusion Algorithm.
Source
https://www.newstrail.com/wimi-hologram-cloud-studies-a-multi-view-data-fusion-algorithm/
February 13, 2023
With the extensive penetration and deepening of internet technology and applications in our daily life. Thus, people have an increasing demand for better convenience and presentation modes of media. In the Metaverse Era, multi-mode technology, or multi-view data technology can find a suitable way for data integration from multi-data resources and different features and perspectives of objects.
In the Big Data Era, all walks of life have produced large amounts of data. When solving a problem, we usually need to take advantage of multiple different datasets. Different domains produce multiple datasets that are implicitly connected by latent objects. Furthermore, different datasets of the same object and subsets of different features can also be viewed as different views of an object. For example, the information after training from different data sources can identify some of a person’s information, more than fingerprint, face information or signature, etc. A graph can also be represented through different sets of features (such as colors, shapes, etc.), as the datasets describe the same object. Then, these data sets are different from each other, contain unique information, and complement each other. Therefore, integrating different views and extracting different features can describe an object more accurately and comprehensively.
It is understood that the WIMI Hologram Cloud (NASDAQ: WIMI) development team is working on a multi-view-based data fusion algorithm, whose core is a multi-view learning algorithm. The multi-view learning algorithm includes three parts:
- co-training,
- multi-core learning, and
- subspace learning.
The co-training algorithm considers that each sample can be divided into different views, selectively maximizing the likelihood that both parties can agree on the data in different views. Multi-core learning involves a range of machine learning methods, using natural cores that respond to different views, and combining linear and non-linear features to improve learning outcomes. Subspace learning is designed to obtain a subspace that can be shared by different views. With this subspace, it can perform subsequent tasks, such as classification and clustering.
With the continuous improvement of computer level and the continuous progress of data fusion algorithms, the application of data fusion is also constantly promoted. In this era of big data with the information explosion, data has become a strategic asset. Where there is information and data, there will be a demand for data fusion. In the new era of national informatization development strategy, wisdom city, intelligent transportation, and intelligent manufacturing in various fields of digital construction are in steady progress, the construction in the field of digital will have more demand for data fusion algorithms, thus, WIMI based on multi-view data fusion algorithm has extremely broad application prospect.
WIMI Promote Digital Transformation Of Industries By Its Digital Twin AR System.
Source
https://www.newstrail.com/wimi-promote-digital-transformation-of-industries-by-its-digital-twin-ar-system/
February 10, 2023
The development of the new generation of information technology has broken the traditional industrial manufacturing mode, making it possible for cross-enterprise and cross-space collaborative manufacturing, and bringing a new round of development opportunities for manufacturing enterprises. More complex industrial manufacturing environment also for manufacturing enterprise production optimization puts forward serious challenges, contemporary manufacturing enterprises are more concerned about how in distributed collaborative manufacturing environments make systematic decisions to improve the efficiency of the whole manufacturing system, in the face of increasing global competition, manufacturing enterprises need more efficient intelligent collaboration system.
With the popularization of AR applications in the field of industrial manufacturing, many enterprises have not been satisfied with the “display” value of AR applications, and how to use AR digital twin to play a higher value in the field of industrial manufacturing has become a topic of more and more attention.
The digital twin is a kind of big data, artificial intelligence, and simulation modeling based on multidisciplinary integration technology, it adopts a digital method to establish the virtual model of physical entities, and through simulation analysis of physical activities, the integrated use of the interactive feedback, data fusion analysis, decision-making process iterative optimization technology, from the physical entity to the virtual digital model interaction and intelligent control.
WIMI Hologram Cloud (NASDAQ: WIMI) has been deeply engaged in the holographic AR field for many years and is the industry leader. It has developed the AR multi-player collaboration system based on digital twins. It can analyze the industrial manufacturing method from three aspects of process cooperation, scene collaboration, and data cooperation, realize the real-time iteration and update of industrial manufacturing process information, improve the adaptability to various working conditions, eliminate the communication barriers between staff, and ensure the temporal closed-loop control in the product manufacturing process.
Digital twin technology can meet the adaptability of multi-person collaboration systems, and realize the virtual and real mapping of the industrial manufacturing process through virtual and real interactive feedback, data fusion analysis, and decision iterative optimization. AR technology can help the staff to complete the perceptual assistance, data visualization, and interaction of the manufacturing process, which provides an opportunity for the intelligent transformation of the industrial manufacturing mode.
WIMI’s AR multi-player collaboration system based on digital twin mainly includes three processes:
- Twin body construction:
Obtain the manufacturing process resource information, process and store the multi-source heterogeneous information, and realize the construction of the manufacturing twin body.
- AR scene collaboration:
The AR system obtains the collaboration information of the object through the digital twin of the industrially manufactured object, which is used for the collaboration of the scene and data.
- AR co-guidance:
The real-time and closed-loop control of the industrial manufacturing process is realized through virtual and real integration, to meet the quality requirements of products while improving the industrial manufacturing efficiency.
In the digital twin space, the 3-D model and industrial manufacturing process information are processed to obtain abstract attribute information and relationship information to construct the twin body. Digital twinning is the basis of industrial manufacturing process management and data collaboration. AR guides scenes to act as a bridge between physical space and digital twin space for the guidance and collaboration of industrial manufacturing processes. The physical space obtains the process information and collaborative information of industrial manufacturing through the AR system and completes the collaborative manufacturing task based on the visualization and guidance of AR.
The digital twin space guides the assembly of the physical space based on the process design and ensures the standardization and efficiency of the assembly process through the virtual and real mapping process. The working conditions of the physical space will also promote the evolution of the digital twin, and ensure the high fidelity of the digital twin industry through the way of real deficiency. The AR system publishes and visualizes the work tasks through the collaborative attribute information, and constructs the collaborative AR space. Through the collaboration and control of multiple devices, the multi-person model collaboration, perspective collaboration, and data collaboration can be realized.
With the continuous development of industrial digitalization, the traditional multi-person collaboration system and human-computer interaction mode can no longer meet the needs of people. People need to build a system with realistic visual effect, the objective world and virtual scene can interact naturally, and realize multi-person collaboration in the virtual reality environment. The development of digital twins, machine vision, virtual reality, and other technologies has provided technical support for the construction of human-computer interaction and multi-person collaboration systems in the virtual reality environment, and is also more and more used in the field of digital production and manufacturing.
WIMI’s AR multi-player collaboration system based on a digital twin improves the efficiency of multi-player collaboration and human-computer interaction experience through key technologies such as twin construction, AR scene collaboration, and AR collaborative guidance, which is of great significance for promoting digital transformation and upgrading of the manufacturing industry.
WIMI Develops A 3D-Imaging Reconstruction Algorithm System.
Source
https://www.newstrail.com/wimi-develops-a-3d-imaging-reconstruction-algorithm-system/
February 9, 2023
With the continuous development of computer vision and spatial information technology, three-dimensional scene reconstruction is an important way to obtain spatial information. The fields involved in 3D scene reconstruction include computer science, data fusion, image processing, and other disciplines, and they cross each other. At present, 3D reconstruction technology is playing an increasingly important role in various fields, including geographical architecture, electronic mapping, film and television production, game development and innovation, and other fields. For instance, the producers can take the advantage of 3D reconstruction to shape a lot of fantasy and lifelike scenes, which make the audiences an immersive visual experience. Furthermore, with the popularity of the digital-city concept in recent years, the construction of a city also needs the support of 3D scene reconstruction technology while building the 3D smart city model.
3D reconstruction is a mathematical model that can establish suitable representation and processing for 3D objects. It is the base of the Process, Operation, and Analysis of 3D objects under the computer environment, and also, the key technology that expresses objective reality in virtual-reality.
It is understood that WIMI Hologram Cloud (NASDAQ: WIMI) has developed a 3D reconstruction algorithm system. It extracts the point cloud information from multiple images and the obtained point cloud information for data registration and fusion. In addition, the 3 d model reconstruction based on the fusion of point cloud information and image information can give full play to the advantages of the two kinds of information and provide accurate and rich realistic model information.
WIMI three-dimensional reconstruction algorithm system based on image and point cloud fusion mainly includes three parts:
-(1)Data acquisition program to obtain the multi-view cloud and image information of the target model;
-(2)Information extraction program, for sequence images can achieve feature extraction and matching, camera matrix calculation, dense reconstruction, and other functions;
- 3)Point cloud processing program, point cloud registration, and heterologous point cloud fusion.
The theoretical transition matrix is precalculated based on the load view information. The motion information extracted from the images was used to assist the point clouds for registration, followed by the fusion of the heterologous point clouds.
The purpose of point cloud registration is to align two point clouds of the same target acquired at different directions in the same environment, so as to obtain complete environment model information. In the registration process, the initial information is obtained by multi-point cloud and image acquisition of environmental targets.
After obtaining the initial information, the motion information is calculated from the image sequence. After dense reconstruction, the environmental 3D point cloud is obtained, and the calibration of the scale factor is completed in the process. Then the final environmental point cloud model is obtained after merging the point clouds, and the 3D scene model is obtained after surface reconstruction.
Among them, the information extraction stage, mainly involves feature extraction, matching, and acquisition of feature points and reference calibration outside the camera. On the one hand, the external parameter calibration of the camera mainly uses the extracted feature points to solve the information; on the other hand, the number and accuracy of feature point pairs are the basis of the subsequent reconstruction process. After collecting or merging to obtain the point cloud data, it is necessary to use appropriate algorithms to preprocess the collected point cloud data, and then surface-reconstruct the processed point cloud. The dense reconstruction is based on the dense matching of sparse point clouds, and further uses the image information to obtain rich point clouds.
3d scene reconstruction technology development has become an important computer technology, from a single object to multiple objects, from small targets to large target,s and even outdoor scenes, for 3 d target scene color information and space distance information acquisition and fusion has achieved very high accuracy, it’s in construction engineering, intelligent robot, entertainment games, and other fields have been widely used. WIMI will also continue to expand the application field of its three-dimensional reconstruction algorithm system based on image and point cloud fusion, build a bridge between real scenes and virtual space, and help shape the real digital world.
WiMi Hologram Realizes holographic ChatGPT digital twins.
Source
https://finance.yahoo.com/news/wimi-hologram-realizes-holographic-chatgpt-135000638.html
February 8, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the realization of holographic digital twins with ChatGPT technology, the layout of ChatGPT's underlying holographic technology research and development, and the active exploration and layout of the holographic ChatGPT, "the next generation Internet".
The essence of "holographic ChatGPT digital twins" is an open virtual world supported by hardware and software conditions. The basic operation of the virtual world and holographic content production is ensured through high coverage and excellent network quality Internet services. The main layout of WiMi's ChatGPT digital twins lies in the hardware and software R&D of the underlying holographic technologies, and the further expansion of holographic ChatGPT digital twins' holographic applications.
1. In terms of holographic ChatGPT digital twin technology, WiMi embedded holographic AR content into virtual applications based on imaging detection and recognition technology, template matching and detection technology, video processing and recognition technology, holographic 3D layer replacement technology in imaging recognition and dynamic fusion processing technology in imaging tracking. WiMi's holographic AR content and holographic imaging services based on image detection, recognition, template matching, dynamic image fusion and replacement will generate commercial value in holographic ChatGPT digital twins applications.
2. In terms of holographic ChatGPT digital twins applications, WiMi has a comprehensive holographic IP equity content library, and virtual holographic content covers from 3D models to holographic virtual products. WiMi owns a total of 4,654 holographic virtual IP rights that can be used in WiMi's holographic AR products and solutions, covering a wide range of categories, including holographic anime, virtual live streaming, virtual idol and virtual social. WiMi's virtual assets will generate business value in holographic ChatGPT digital twins.
3. In terms of holographic ChatGPT digital twins hardware, WiMi has launched its holographic XR head-mounted display product "WiMi Hologram SoftLight", which has been licensed by FFC and approved to enter the US market. This accelerated iteration in image's color management, interfacing devices, and the feel of the wearing experience will lay the groundwork for WiMi in the holographic ChatGPT digital twins market.
WiMi has developed industry-leading holographic AR technologies such as 3D visualization and a comprehensive Software-as-a-Service ("SaaS") platform. The Company's holographic AR business customer base covers a wide range of industries, including advertising, entertainment, education, and telecommunications. With the widespread use of holographic ChatGPT digital twins applications, WiMi expects the holographic cloud industry to experience exponential growth in turn.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
WiMi Hologram Cloud Develops Digital Holo Eye-Focus System.
Source
https://www.newstrail.com/wimi-hologram-cloud-develops-digital-holo-eye-focus-system/
February 7, 2023
In recent decades, the development of our display technology is efficient and rapid. People have experienced from black and white to color, from low resolution to ultra high definition 4K display, from 2D display to 3D display. At present, the field of display technology is generally recognized that holographic display is the only display technology that can provide all the required depth and contain all the visual information.WiMi Hologram Cloud (NASDAQ: WIMI) has been committed to the research and development of digital holographic technology and has accumulated profound technical accumulation and diversified application solutions.
In the last decade, head-mounted displays (HWD) have received great attention due to the increasing popularity of augmented reality and virtual reality applications, and head-mounted display technology has also been greatly developed. However, most HWD is currently fixed focal length stereo systems, which leads to a mismatch between the focus and dispersion, the response of the eye viewpoint, thus becoming one of the main causes of viewing discomfort in current HWD technology.
WiMi Hologram CLoud In its first generation of WiMi Holo AR Lens products, an independent intellectual property optical degree and pupil distance adjustable optical structure system, innovative structural design greatly improves the viewing and wearing comfort of HWD. Current holographic display devices (HD) are not comparable to the human visual field of view (FOV), so the earlier solution was based on fixation point display, generating only computer digital holographic content (CGH) of the eye gaze object, and using low-resolution micro-displays to display peripheral images. The mobile microdisplay can be combined with the peripheral display of a wide field, with natural focusing and field presentation using light field or multifocal and zoom methods, directing FOV from one area to another through the use of motorized optical components, but the solution has synchronization between brake size and multiple dynamic components because the inability to use individual dynamic components to control FOV can lead to system complexity and cost.
At present, the mainstream technology of HWD, processing focus, and aggregation is the wavefront digital image issued by simulated 3D objects, which sends the computer digital holographic content (CGH) to the left and right eyes. Therefore, the user can directly focus their attention on the fixated 3D object, thus eliminating the discomfort caused by the cluster-divergence adjustment conflict. In holographic HWD, CGH is usually displayed on a phase-space light modulator (SLM). Such a display does not require relay optics, since the SLM can be imaged at any distance from the eye. However, because the current SLM has a limited number of pixels, the current HWD is still limited by the field of view (FOV) and EyeBox. The total number of pixels of the SLM sets an upper limit on the spatial bandwidth product (SBP) of the system. Because HWD uses binoculars, matching the human visual ability and comfortable viewing experience. People may need a FOV of more than 80 degrees and ultra-high pixel requirements, which leads to SLM beyond the capabilities of the technical framework.
WiMi Hologram Cloud (NASDAQ: WIMI) based on the current technical bottleneck in the field of the HWD industry, puts forward a new technology architecture, a kind based on holographic headset display technology after focus (Eye Movement Focus) new optical system, applied in the next generation holographic headset display (H-HWD) to provide HWD technology to users with a better visual experience. WiMi Hologram CLoud This novel optical architecture, in which the SLM is imaged at the rotational center of the eye. In this system architecture, the FOV is transiently controlled without using any dynamic optical components.
In traditional head-mounted displays (HWD), the FOV cannot be controlled by computer digital holographic content (CGH) (i.e., keeping the image at the center of the eye focus image as the eye rotation changes focus). As shown, the eye rotation causes the displayed image to move toward the periphery. The SLM or lens is mechanically moved to bring the image to the center of tye-focused imaging. WiMi Hologram CLoud, Ha olographic head-mounted display (H-HWD) imaging in the rotating center of the eye, eye-centered design, is the core of the eye-moving chase focus system architecture. Since the SLM is imaged in the center of rotation of the eye, the gaze direction is changed by changing the light direction by CGH, as shown in the WiMi Hologram CLoud focus system architecture, changing the direction of the light by adding the diffraction lens items and grating items to the CGH without any moving components.
Compared with the traditional holographic HWD architecture, WiMi Hologram Cloud eye chase focus system architecture centered on eye design is a significant advantage, just needs to modify CGH to track the focus, can be digital instantaneous FOV control, can remove mechanical parts, on the one hand, reduce the instability of mechanical parts, reduce the weight of equipment mechanical control end, eliminate the fault of mechanical control. The key is to achieve real-time tracking and digital control of the instantaneous FOV, provide a natural fixation point display without mechanical moving parts, and greatly improve the comfort of wearing and viewing of the holographic head-mounted display (H-HWD).
The key to preventing HWD from becoming the next-generation computer platform is the cumbersome device and the discomfort of long use. With the application of WiMi Hologram Cloud (NASDAQ: WIMI) based on HWD develops eye focus system, the comfort improvement of future holographic display (H-HWD) will provide a broader application space for holographic display H-HWD.
WiMi Build A New Enterprise Data Management System Through WBM-SME System.
Source
https://www.newstrail.com/wimi-build-a-new-enterprise-data-management-system-through-wbm-sme-system/
February 6, 2023
With the deepening of Internet technology digitization, the efficiency and productivity of small and medium-sized enterprises (SMEs) have also improved significantly in the past few years. Small business connections, access, exchange, add, and change transaction execution and their partners are also becoming inseparable. Data exchange, financial management, manufacturing and productivity collaboration, and privacy and security are also gaining attention from SMEs. With the rapid development and application of emerging technologies such as blockchain, artificial intelligence (AI) and industrial Internet of Things (IoT), our society is stepping into the era of Web3.0. With stronger ability of digital links, the global business environment has also changed the development model of small and medium-sized enterprises (SMEs). WiMi Hologram Cloud (NASDAQ: WIMI) combines blockchain, artificial intelligence (AI) and industrial Internet of Things (IoT) technology to develop data management systems for SMEs to help enterprises realize efficient, collaborative and intelligent processing of data.
With the trend of stronger links in the Web3.0 era, SMEs also faces many challenges. For example, the current distributed data management platform designed for SMEs has the data collaboration and link ability between platforms to ensure the data accuracy, integrity and reliability of enterprise operation, so that the data management efficiency is low and the data utilization is insufficient. In addition, data encryption protection and tamper-proof also need to be greatly improved. In the current SME data management, it is mostly based on the centralized server management mode, which also causes problems in data collaboration and data trust between two different enterprise partners. The reason for the centralized management of enterprise database infrastructure is also based on enterprise data security, privacy and data extraction efficiency, and necessity. Therefore, it is the core problem of enterprise data management to improve the efficiency and productivity of enterprises through intelligent analysis, and to revitalize the sleeping data. Based on this, WiMi Hologram Cloud develops an intelligent collaboration system for data management for SMEs, so that enterprises can enter a more efficient link collaboration in the Web3.0 era, so that enterprise data can be efficiently used and processed with enterprise data in any location in the world.
WiMi Hologram Cloud Using the collaboration technology of blockchain, Internet of Things (IoT), and artificial intelligence (AI) and machine learning (ML), it proposes a novel and efficient security framework with standardized processes, hierarchy, and task life cycle for distributed SMEs. A blockchain with a licensed less network structure that supports the Internet of Things are designed as a WBM-SMEs system to provide solutions for cross-chain platforms. The WBM-SMEs system also addresses authentication issues among lightweight partners.
To this end, three different chain codes were deployed. It handles the daily management and exchange of information between nodes of participating small and medium enterprises, analyzing the transaction details related to the exchange before saving the blockchain immutable storage. Use ML-based AI artificial neural networks to process and optimize the number of daily transactions for smes; therefore, WBM-SMEs systems consume less resources in terms of computing power, network bandwidth, and issues related to data preservation throughout the delivery of SMEs services. The advantages of WBM-SMEs system improve the speed of ledger management and optimization when exchanging information between different chains.
WiMi Hologram Cloud (NASDAQ: WIMI) WBM-SMEs system has several advantages in enterprise data and process management:
Efficiency and analysis:
It enables the current process between customers and enterprises to achieve efficient collaboration, for example, the mutual chain between manufacturing, production and research and development, including data collection, management and optimization, and the collection and analysis of digital technology through artificial intelligence, to help enterprises improve efficiency and provide detailed and favorable analysis.
Data security and transaction transparency:
standard process and the security, tamper-proof hierarchy ensures the information confidentiality, transparency and authenticity, WBM-SMEs system (support block chain and AI distributed framework) provides a platform, on the platform design, creation and deployment of distributed application (DApp), in order to achieve transparent trading environment. The SME-related processes can be automatically analyzed and processed, especially the transaction verification and confirmation, so that the two parties of the transaction partners can share resources.
Data and Services Lightweight:
A distributed public perensless network that integrates blockchain with AI technology provides a lightweight authentication mechanism that reduces the cost of computing resources and network bandwidth and storage.
The WiMi Hologram Cloud WBM-SMEs system hierarchy is an integrated blockchain and AI-supported framework, divided into three different parts.
- The first is the IoT process hierarchy designed to collect, examine, and analyze data or transactions generated by SMEs. After proper inspection, the WBM-SMEs system designed a schedule for the data transmission through a wireless sensor network and implemented a management hierarchy for managing daily transactions.
- Second, the AI part is divided into two parts, such as computational resource management and neural network algorithms. A lightweight authentication is created in the middle to provide the ability to grant access to each application request after distributed Application (DApp) authentication. New SMEs or corresponding registrations are processed by the Blockchain Distributed Ledger Expert (BDLE). BDLE is responsible for initiating new registration verification after a complete analysis of the received request and allowing the initiation of transactions in the chain and the exchange of details. Use AI-enabled machine learning algorithms (AI neural networks) to manage and optimize data. The process eliminates repeated data / transactions and organizes logs in sequence, while reducing the consumption of computing resources and the save load.
- Third, the blockchain-unlicensed public network (a peer-to-point network with node interconnection) is deployed together with two different communication chains under and on the chain. The two designed communication channels handle multiple transactions occurring in the chain, for example, application requests, node-to-node activity, operational control, external communications, and information exchange. For example, the chain receives internal transaction requests with hidden processing. On the other hand, underchain communication handles all explicit activities (off-chain / cross-chain platform). The main goal of a blockchain transaction processor is to schedule a list of transactions that is provided by external calculation and execution. The calculation load is reduced by calculating the hash value of the individual transactions occurring in the WBM-SMEs system. The Inter-Planetary File Storage System (IPFS) is used to store the logs of individual transactions that occur in the chain of WBM-SMEs. The purpose is to use this distributed immutable storage, as it can provide a ledger storage facility at the lowest cost, compared to other distributed storage. The main reason for its use is that it allows for a scalable and cost-effective hierarchy in a distributed manner.
WiMi Hologram Cloud (NASDAQ: WIMI) WBM-SMEs system has developed a classification mechanism that checks the redundancy in the data / transactions of SMEs and extracts the raw data, while discarding duplicates in the pre-validation process. This process facilitates computational resource management to reduce computational costs and submit validated data in the ledger for further processing. In order to use this ML technology in the WBM-SMEs systems, especially artificial neural networks (ANN), to manage daily transactions. In terms of analyzing the ledger, the implementation of ANN technology addresses data management, organization, and optimization issues. Found some new vulnerabilities in the distributed data management environment, such as data / transaction detection problems, and unstable identification of files in different nodes, to analyze these problems, WiMi Hologram Cloud built a data identification mechanism using machine learning and associated it with ANN, it can effectively extract models, detect, identify and classify SMEs data files and transaction information, connect to ANN to arrange for log processing, and minimize the risk of data capture / loss by providing large-dimensional space for classification.
Nowadays, Enterprises highly dependent on digital management, in the Web3.0 open chapter to provide more efficient stronger links, the development of small and medium-sized enterprises face many challenges and new opportunities, WiMi Hologram Cloud WBM-SMEs block chain, AI, IoT technology for small and medium-sized enterprises to build a encryption, tamper-proof, safe, convenient lightweight, intelligent for the integration of data management system for small and medium-sized enterprises into the Web3.0 era can assign, improve efficiency and productivity, to provide enterprises with more efficient intelligent digital management ability.
WiMi’s Researches On 3D Multiple Views Reconstruction Algorithm.
Source
https://www.newstrail.com/wimis-researches-on-3d-multiple-views-reconstruction-algorithm/
February 03, 2023
With the rapid progress of modern computer technology, computer graphics, image processing, and aided design multimedia technology are more widely and deeply applied in advertising, games, medicine, film and television, and other fields. People often need to quickly obtain the three-dimensional information of the object’s surface and transform it into data that the computer can directly process. The three-dimensional reconstruction technology based on computer vision has an irreplaceable critical role. Three-dimensional reconstruction is a process of analyzing and calculating different properties of objects in three-dimensional space, such as color, texture, reflection, and other information, restoring the shape and color of objects through computer vision technology, and simulating rendering in an agreed way in the computer. It is a widely used technology, and its perception, modeling, and interaction with the real world involve computer vision, digital image processing, digital geometry processing, etc.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) researches multi-view 3D reconstruction algorithms based on computer vision and artificial intelligence. The multi-view-based 3D reconstruction algorithm restores the object’s depth by calculating the 3D spatial position of the object image taken from different perspectives. It uses geometric constraints and feature-matching relations to find the corresponding feature-matching relation from the image to recover the spatial coordinate connection between the object and the camera and then carries out dense reconstruction to determine the position and orientation of each face. It integrates information from multiple images and has significant advantages in measuring three-dimensional objects and reconstructing highly realistic three-dimensional models. 3D reconstruction technology based on numerous views is increasingly applied in various fields, such as augmented reality, historical building modeling, etc. It has extensive application prospects in many areas.
The multi-view-based 3D reconstruction algorithm applied by WiMi mainly includes the following processes:
Feature point extraction and matching:
Feature point extraction and matching are essential modules in the process of reconstruction. Image feature point correspondence refers to the sparse pixel coordinate correspondence between images, a descriptor used to describe the content of a part of the image area. It is composed of multidimensional binary or real vectors and is generally obtained by extracting the gradient histogram of the part of the area. In computer vision, feature points are generally points with significant gradient changes on the image or the edges of objects in the picture. By matching feature points in the image, things can be recognized, or the scene’s location can be located.
The quality and accuracy of feature point extraction are particularly important, and the accuracy of feature point extraction will affect the quality of the corresponding position reconstruction model. The quality of feature points is mainly reflected in the accuracy of matching, distinguishing from different feature points, and easily matching features in the same position. However, there are apparent differences between other parts, so matching cannot be completed. In addition, it also needs invariance in various situations, such as rotation invariance, scale invariance, photometric invariance, and anti-interference ability to image noise, blur, image compression, and other factors.
Feature extraction and matching are the first steps in multi-view-based 3D reconstruction technology. In this process, the matching relationship between image pixels is established. Based on this step, the subsequent motion restoration structure algorithm can be carried out.
Motion recovery structure:
The process of motion restoration structure is mainly to extract the basic geometric information in 3D reconstruction, that is, to obtain the 3D position of the object seen and the pose of the camera from the 2D image sequence, and the focal length of the camera can be obtained from the incidental information in the picture or calibrated by itself. According to the theory of polar geometry, the relative position of the two cameras and the change in their orientation can be calculated through the feature-matching relation. Then, the feature points matched by the image can be triangulated to solve the depth of three-dimensional space points.
Multi-view stereo vision:
After the motion recovery structure, the pose of all cameras and the three-dimensional coordinates of objects recovered through image matching is obtained, namely, sparse point clouds. Multi-perspective stereo vision uses the information extracted from the motion recovery structure and the information in the under-utilized two-dimensional pictures to generate dense point clouds from sparse point clouds, making the news of the three-dimensional model more complete.
With the development of computer technology, 3D reconstruction technology has made significant progress and is usually used in many fields. WiMi’s multi-view-based 3D reconstruction algorithm has essential application value in navigation, virtual reality, augmented reality, mapping, medical treatment, and other areas.
WiMi’s XR-Based HCI System Offers A Multi-View Fusion Solution For XR Interaction.
Source
https://www.newstrail.com/wimis-xr-based-hci-system-offers-a-multi-view-fusion-solution-for-xr-interaction/
February 03, 2023
The Web 3.0 holographic spatial Internet concept has attracted much attention to the experience of interacting with virtual digital space. Wearable devices have also entered a phase of rapid development, and XR is increasingly mentioned. XR is a combination of real and virtual, human-computer interactive environments generated through computer technology and wearable devices, and is a collective term for AR, VR, MR, and others. It is also a key technology for the next-generation computing platform. Most of the existing XR technologies are based on the central perspective of the object for the immersion experience. When participants observe the same object at different locations, they often see the object form under the same perspective, lacking a full range of observation experiences for the object from different perspectives in the same space.
Moreover, the existing all-around observation method is to rotate around the object as the center point, which is a poor experience for the user, and the image needs a sense of incongruity. Based on this, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a method and system for human-computer interaction based on XR technology to enhance the user experience and achieve the technical effect of changing the viewing angle at different positions. The integration of visual interaction technology allows for a seamless transition between the virtual world and the natural world as an “immersive” experience.
The XR-based human-computer interaction method and system of WiMi acquires a primary view image of the user, a secondary view image, and a configuration method and fusion mode between the primary view image and the secondary view image by collecting the user’s location and observation perspective. The user observation viewpoint includes a first-person viewpoint and/or a third-person viewpoint. The system constructs a multi-view fusion image based on the user observation viewpoint and the user location, based on the configuration method and the fusion mode, to provide the user with different viewpoint images.
The viewpoint images include a primary viewpoint image and/or a secondary viewpoint image. In the process of capturing the user observation viewpoint, the system acquires an interaction task by capturing user commands from the user based on the user’s location. Wherein the user commands comprise voice commands and/or action commands. In the process of acquiring the viewpoint image, the system acquires the viewpoint image based on the task type of the interaction task. Wherein the task type is used to indicate an imaging requirement of the user for the viewpoint image. Based on the imaging requirements, the system automatically acquires a configuration method and a fusion mode.
In the process of obtaining an interactive task, when the interactive task requires a high level of observation and perception ability in tight space and a low level of perception ability in far distance, the user’s observation perspective is the first-person perspective as the main perspective, and the multi-view fusion image is the main perspective image. When the interaction task requires average observation and perception ability in near and far space, the user’s observation perspective is the first-person or third-person perspective, and the multi-view fusion image is the main or auxiliary perspective image. When the interaction task requires a high level of observation and perception in both near and far space, the user’s viewpoint is the first-person view and/or third-person view as the main viewpoint, and the multi-view fusion image is a fusion of the main viewpoint image and the additional viewpoint image. When the interaction task requires less observation and perception ability in the near space and more perception ability in the far space, the user’s observation viewpoint is the third-person viewpoint as the main viewpoint, and the fused multi-viewpoint image is the secondary viewpoint image.
In the process when the interaction task requires general observation and perception ability for both near and far space, the auxiliary view image corresponding to the first edge of the main view image is obtained based on the first edge of the main view image, and the auxiliary view image is stitched with the main view image to generate the multi-view fusion image, in which the user switches between the main view image and the auxiliary view image through user commands.
In the process, when the interaction task requires high observation and perception capabilities for both near space and far space, the system acquires the second feature corresponding to the first feature in the secondary view image, based on the first feature of the primary view image, and fuses the image corresponding to the second feature, into the primary view image. In this case, the user acquires the second feature by selecting the first feature. In the process, when the interactive task requires high observation and perception capabilities for both near space and far space, the system acquires the fourth feature corresponding to the third feature in the auxiliary view image, based on the third feature in the auxiliary view image, and fuses the image related to the fourth feature, into the auxiliary view image. For example, the user can acquire the multi-view fusion image corresponding to the second and third features by selecting the first and fourth features.
WiMi’s XR-based human-computer interaction system includes an
- interaction task acquisition module,
- a data processing module,
- an image fusion module,
- a command acquisition module,
- a data storage module, and
- a data fusion module.
- The interaction task acquisition module is used to acquire an interaction task based on the user’s location. The interaction task is acquired by capturing user commands of the user, wherein the user commands include voice commands and/or action commands.
- The data processing module is used based on the interaction task. By acquiring a user location and a user viewing perspective, a primary view image of the user, a secondary view image, and a configuration method and fusion mode between the primary view image and the secondary view image, wherein the user viewing perspective includes a first-person view and/or a third person view.
- The image fusion module is used to base the user viewing perspective and the user location. According to the configuration method and the fusion mode, a multi-view fusion image based on the user’s observation perspective is constructed to provide the user with different perspective images, wherein the perspective images include a primary perspective image and/or a secondary perspective image.
- The command acquisition module acquires the user’s voice and action by capturing the user’s voice and movement. The user’s voice commands and action commands are acquired.
- The data storage module is used for storing the viewpoint images.
- The data fusion module is used to acquire view images of the same object from different users. Image fusion is performed based on the same features of each viewpoint image to generate a multi-viewpoint fusion image.
WiMi’s XR-based HCI system generates multi-view images according to the user’s location by collecting different commands from the user, and the user can observe multi-view images by switching between the main view image and the secondary view image or by selecting feature points in the image, which realizes the technical requirement of multi-view observation of the same object and provides a technical reference for users. The combination of XR generates multi-view fusion images that can be widely used in many new applications such as social, office, entertainment, exhibition, education, etc. This will provide a broad scope for the XR industry to give users multi-view fusion images from different locations, making the virtual world more realistic and the natural world more virtual simultaneously. It is to be expected that some realization of standard objects will be virtualized through a big data approach, which, when fused with the multi-view fusion solution mentioned by WiMi’s XR-based human-machine interaction system, helps users to carry out virtual reality fusion comparisons and provides a viable application solution for current objects such as defect detection and feature observation as well.
WIMI (NASDAQ:WIMI) develops a data mining clustering algorithm system based on artificial neural network.
Source
https://cj.sina.com.cn/articles/view/1704103183/65928d0f020032xz2?from=finance
February 03, 2023 11:20 Financial World Website
The amount of Internet data is growing explosively, the impact of data on social production and life is increasing, and the application of data mining technology is becoming more and more extensive. The data mining process is a repeated human-computer interaction process, which includes defining problems, establishing data mining databases, analyzing data, preparing data, establishing models, evaluating models, and so on. The main data mining algorithms include association analysis, sequential pattern mining, classification algorithms and clustering algorithms.
It is understood that WIMI Hologram (NASDAQ: WIMI) has developed a data mining clustering optimization algorithm system based on artificial neural networks. In cluster analysis, the data is divided according to certain rules. After the data is divided into categories, the similarity between the categories is small and the similarity within the category is large. The results of data analysis can not only reveal the internal connections and differences between data, but also provide an important basis for further data analysis and knowledge discovery.
WIMI's development of data mining clustering optimization algorithms based on artificial neural networks includes several methods:
(1) Partition method:
This method can find spherical mutually exclusive clusters, and the center of the cluster is represented by the mean or center point. This algorithm is suitable for clustering problems with a fixed number of clusters and small data sets. Through the random search strategy, large-scale data clustering has high efficiency and good scalability. Partition clustering algorithms are usually easy to parallelize and have been very active on big data processing platforms in recent years.
(2) Hierarchical method:
This method is based on the idea of ??hierarchical decomposition clustering, which performs hierarchical decomposition according to the similarity between data points, and generates a nested clustering tree with a hierarchical structure. The bottom-up hierarchical decomposition corresponds to the agglomerative method, and the top-down hierarchical decomposition corresponds to the split method.
(3) Density-based approach:
This algorithm can find clusters with different regular shapes without forcing the shape of the clusters to change. It is suitable for clusters with irregular numbers and random shapes, and has the advantage of reducing or even eliminating noise. It divides the area with sufficient density into clusters, and finds clusters of arbitrary shape in the noisy spatial database. According to the local density of the sampling points, the cluster is defined as the largest set of points with connection density.
(4) Grid-based method:
This algorithm clusters the quantized grid space, which is fast and has strong computing power. Divide the space into grids and perform analysis on the data on the grids.
(5) Model clustering:
Model clustering algorithms assume that data are mixed according to a specific probability distribution that strives to find the best fit between the data and a given model.
In this era of massive data, data mining is extremely important, its application is becoming more and more extensive, and its importance is becoming more and more obvious. As long as the enterprise has a data warehouse or database with analytical value and needs, it can carry out purposeful data mining and obtain valuable data.
While the clustering optimization algorithm can deal with data with multi-dimensional and irrelevant characteristics, the choice of clustering method directly determines the quality of data mining. In order to improve the quality of clustering, people continue to explore better clustering analysis methods.
The artificial neural network-based data mining clustering optimization algorithm developed by WIMI can automatically merge the clustering results with smaller granularity according to the preset warning value, thus effectively preventing unreasonable clustering caused by too many specified clusters. Class results occur. Artificial neural network has highly nonlinear learning ability and fault-tolerant ability to noisy data, and it has a strong ability to extract rule knowledge. Using artificial neural network model to process data and mine knowledge has very obvious advantages.
The coming of the Web 3.0 era is accelerating, WIMI (WIMI.US) strengthens the digital human + AIGC industry rises rapidly.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fqz0?from=finance
February 03, 2023 11:19 Tongbi Finance
Web 3.0 is the third generation of the World Wide Web. Web 3.0 places a strong emphasis on decentralized applications, open to all (with a bottom-up design), and builds on the development of blockchain technology and the Semantic Web. Web 3.0 will also leverage machine learning and artificial intelligence (AI) to help power more intelligent and adaptive applications.
Web 3.0 envisions a world without centralized corporations, where people are in control of their own data, and transactions are recorded transparently on blockchains, or databases that anyone can search.
Characteristics of Web 3.0
Web 3.0 envisions a truly decentralized internet where connections are based entirely on peer-to-peer network connections. This decentralized network will rely on the blockchain to store data and maintain digital assets without being tracked. Decentralized applications (Dapps) are also developed based on this concept. A decentralized application is maintained not by a single server, but by a network of computers.
In addition, Web3.0 is closely integrated with immersive experience, which makes our life and work into a more immersive atmosphere. The Internet is evolving in the direction of decentralization, and Web3.0 is to realize the value delivery chain of "decentralization", "trustworthiness" and "immersion" in the process of information and value exchange. The interaction between people is no longer limited to time and space. condition.
Relying more on 3D vision and even the mobilization of touch and smell, people can achieve highly immersive interactions in virtual space. For example, people can design Web3.0 applications in the 3D shape of VR/AR and holographic projection. The immersive experience and the new business model brought about by decentralization may make the sharing of user experience and co-creation value reach optimize.
Continue to launch incentive policies
Industry insiders believe that Web 3.0 will be a fundamental technological change, covering various cutting-edge technologies such as the industrial Internet, chips, artificial intelligence, cloud computing, blockchain, big data, cryptography, virtual reality, and bioengineering. Some people believe that this fundamental transformation may take 25-30 years, but others believe that the transformation has already begun.
In terms of policy guidance, according to statistics from the Financial Associated Press, the Web3.0 policy declaration issued by the Hong Kong region also marks that the Greater Bay Area
https://en.wikipedia.org/wiki/Guangdong%E2%80%93Hong_Kong%E2%80%93Macao_Greater_Bay_Area
will become an important domestic Web3.0 industrial cluster. On the other hand, the market's understanding of the important role of Web3.0 in upgrading the traditional Internet and the innovation of the technical direction has gradually become clear, but the application direction is still in the exploration stage.
2023 will be the year when Web 3.0 continues to build momentum for take-off. With the rapid development of virtual reality (VR) and augmented reality (AR) technologies, more and more companies are actively investing in and adopting these technologies, and will They are integrated into today's Web3.0 technology. The popularization of VR/AR technology will bring more visual and interactive experience to the original Web3.0 technology, and create more application scenarios.
WIMI perfects the underlying technology + industrial reserves
It is understood that WIMI Hologram (WIMI.US), the first stock of Metaverse Holographic AR, has been seeking suitable business growth opportunities according to market conditions, and creating value for the company in a long-term and sustainable manner. Web3.0 is the vision for the future of the Internet, and WIMI has a Web3.0 underlying technology stack reserve, including VR/AR, cloud computing, artificial intelligence, digital twins/metaverse, etc. In view of the development and potential of the Web 3.0 market in recent years, WIMI is exploring the Web 3.0 business and intends to develop the Web 3.0 business, which will establish a more diversified business portfolio for the company, which is in line with the overall interests of the company.
At present, under the support of new technologies, WIMI has accelerated the transformation of the Web3.0 industry in terms of nature and experience under the background of multi-tech integration and innovation such as AR/VR and AI. Web 3.0 has become a bright future vision for all walks of life based on the Internet, and virtual humans are the vanguard of the deployment of Web 3.0. WIMI is currently focusing on virtual digital human technology research and development and IP incubation and operation. As a digital identity carrier, virtual human has become an indispensable key puzzle and scene entrance in the Web 3.0 world from the auxiliary role of "tool empowerment" in the Web 2.0 world.
In addition, WIMI has also explored the application mode of virtual human + AIGC, expanded the application field of metaverse technology innovation, explored more virtual reality application scenarios, and tried to make more breakthroughs in different industries, and its value is constantly evolving. In the new year, the WIMI Holographic industry chain will further enhance the independent control of core technologies, and help build a trusted foundation for the new world of Web 3.0 through deep integration with traditional information infrastructure such as communications, computing power, and cloud computing, and empower entities more deeply economy.
As the next stage of Internet development, Web 3.0 makes the Internet everyone's "My Internet". The beautiful design of Web 3.0 requires a solid security base and trusted connections. With the integration of blockchain and artificial intelligence, big data, Internet of Things and other technologies, typical applications will be established in industries such as finance, government affairs, and energy. Web3.0 enables everyone to become a creator, and brings opportunities for everyone to make money. Web3.0 business model + immersive experience will rewrite many industries.
At the same time, enterprises and brand owners, while attracting users' attention through innovative Web3.0 products and business models, are promoting the enrichment of Web3.0 ecology and the improvement of applications.
WiMi Develops The 3D Object Recognition Algorithm System Based On Deep Learning.
Source
https://www.newstrail.com/wimi-develops-the-3d-object-recognition-algorithm-system-based-on-deep-learning/
February 1, 2023
WiMi Develops An Endoscopy System For CPLD Based on Hologram Acquisition Technology.
Source
https://www.newstrail.com/wimi-develops-an-endoscopy-system-for-cpld-based-on-hologram-acquisition-technology/
February 2, 2023
The maturation of nanotechnology has led to the rapid development of microtechnology, MEMS (Micro-Electronic-Mechanical systems) technology, which has contributed significantly to the miniaturization of medical devices. This has led to the creation of medical optoelectronic micro-sensors. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is an AR-based holographic service and product provider. Focused on providing innovative interactive holographic AR experiences for its customers, WiMi develops a CPLD (Complex Programmable Logic Device) endoscopy system based on hologram acquisition technology.
WiMi’s CPLD wireless endoscopic system is based on a micro-electro-mechanical system. The system consists of various micro-sensors for sensing external digital information such as force, heat, and light, control actuators, signal processing, and communication interfaces, as well as control circuits and power supplies. The system integrates the acquisition, processing, and actuation of holographic digital information in a multifunctional microsystem.
The system consists of a host computer and a hologram acquisition endoscope. The hologram acquisition endoscope collects the original image. After compression and transmission, the compressed hologram digital image is transmitted to the host through wireless communication, the host receives the compressed data and sends it to the host system, and the host hologram restoration management software displays the hologram digital image.
The hologram acquisition endoscope is designed with a CPLD chip and has a high-precision CMOS lens for hologram acquisition and a data and address bus. It enables holographic lossless digital image compression and wireless data transmission, including purchasing and controlling system data such as pressure, temperature, and light sensing.
WiMi’s endoscopy system enables the continuous acquisition of holographic data and temperature, pressure, humidity, and light sensing control. The addition of holographic image data is the core of the system. The host control system sends commands, and the system management software sends the orders to the hologram acquisition endoscope via wireless signals. The CPLD writes the collected holographic data into multiple parallel memories and compresses them through the controller to improve the system’s holographic high-precision image transmission efficiency. The host management software sends instructions to receive the lossless compressed digital content, decodes the compressed digital images, and displays the 3D holographic endoscopic graphics.
The high volume and relevance of data from hologram acquisition technology require redundant lossless data compression. The high image quality requirements in the medical field necessitate the use of lossless compression algorithms. Through WiMi’s holographic digital content compression and processing system, coding redundancy, spatial redundancy, temporal redundancy, and uncorrelated information are removed to solve the coding redundancy caused by the word code in digital content being larger than the optimal coding to form entropy, spatial redundancy caused by correlation between adjacent pixels in digital content, temporal redundancy caused by the existence of a correlation between different frames in the digital content sequence, different color or spectrum brought redundancy caused by correlation between other structures in a sequence of digital content, spectral redundancy caused by different colors or ranges, etc., to optimize data results.
This allows us to increase transmission speed and performance time significantly. Then lossless restoration is performed to provide a high-fidelity repair of the endoscopic hologram data. The addition of various sensor data allows doctors to have a more intuitive and comprehensive understanding of the patient’s profile, improving their judgment of the disease and giving a proper treatment plan.
WiMi Develops A Highly Concurrent IoT Platform Based on Realtime Visualization of Big Data.
Source
https://www.newstrail.com/wimi-develops-a-highly-concurrent-iot-platform-based-on-realtime-visualization-of-big-data/
February 1, 2023
With the development and advancement of AI and IoT technology, various fields such as cities, water, transportation, manufacturing, cars, health, and homes have been connected to IoT systems. Thanks to emerging applications such as voice recognition and image sensing, all aspects of cities can be improved through digital transformation, sustainability, resource management, quality of life, and security. Massive deployments of intelligent devices and sensors can sense, collect and process vast amounts of data. The advent of the Internet of Everything has generated massive amounts of data that needs to be collected, stored, displayed, and analyzed, posing new challenges to the data processing capabilities of IoT systems.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops a concurrent IoT platform based on real-time visualization of big data using IoT platform software and data visualization software to solve the application and challenges of IoT big data in the industry. WiMi’s IoT platform uses cloud processing to solve IoT data transmission, real-time sensing of massive information, processing capacity, and other technical issues. It supports the front-end of different application areas, multiple communication channels, and multiple communication protocols of large-scale sensing devices with high concurrency access, management, real-time, parallelized transmission and processing of massive collected information, and provides the standard format of high-quality data support for back-end business applications.
WiMi’s IoT platform has a built-in, easy-to-use but powerful logic editor that allows developers to edit complex control logic for their IoT systems. It enables data updates, device status queries, timed hardware system control, timed short messages, and complex system control based on various variables that trigger a complex control strategy. The platform is well adapted to the migration of software development platforms and changes in software architecture, making full use of existing resources, enabling developers to focus better on the business logic and improving development efficiency. WiMi has incorporated data reception, exception capture mechanisms, data filtering modules, device identification modules, data storage modules, and other functions into the platform’s design, enabling the receiving, filtering, and storing. This dramatically reduces the coupling between the business and data layers, improves the scalability and maintainability of the system, and increases the development efficiency of the system.
WiMi’s IoT platform uses powerful data modeling software to address massive data collection, storage, governance, analysis, and other capabilities. By collecting, storing, governing, and intelligently analyzing data, the platform combines data modeling software to provide users with the information they need to make better business or personal decisions and can indicate potential problem areas.
Based on data visualization technology, the platform helps companies to achieve intelligent management and operations and improve operational efficiency through data visualization displays that uncover the more profound value of data in its most intuitive form. Data visualization and analysis tools can be presented through images, tables, and other forms according to different scenarios and different needs of users. Even 3D visualization is used to realize the 3D virtual simulation of natural scenes to show more visualized data in a richer form, making the data more precise and flexible to reflect its value.
The Internet of Things generates a large amount of big data that can be used for real-time monitoring, analysis, process optimization, predictive maintenance, etc. WiMi’s IoT platform, based on real-time visualization of big data to solve the problems of device connectivity, data collection, data storage, data governance, data analysis, and data visualization in the application of IoT big data in the industry and to realize the IoT big data in the industry application logic. In the future, in the era of IoT and big data, the value of data is increasingly prominent, and in the face of data generated anytime and anywhere, enterprises need safer and faster ways to store and manage data.
WiMi Develops Data Algorithm Software Based On Big Data Internet Technology.
Source
https://www.newstrail.com/wimi-develops-data-algorithm-software-based-on-big-data-internet-technology/
February 1, 2023
With the rapid development of Internet technology and the Internet of Things, network services and applications are creating a large amount of big data. These data sets need to be processed, stored, retrieved, and analyzed, and the demand for data is increasing. At the same time, the Internet of Things equipment has mobility and requires sufficient data processing performance, which also poses new challenges to big data processing algorithm technology.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops data algorithm software based on big data internet technology for big data processing of Internet of Things devices. The algorithm software uses Lambda architecture designed for big data processing, which makes computing resources easier to access, provides a flexible computing environment, enhances data display ability and optimizes resource allocation, and can be widely used in the Internet of Things, Internet of Vehicles, etc. The Lambda architecture of big data takes advantage of both stream and batch processing when processing large-scale data. Provide comprehensive and accurate data through batch processing; Provide low-latency data through stream processing to balance latency, throughput, and fault-tolerance; Finally, the results of batch processing and stream processing are combined to realize the real-time downstream query.
Lambda architecture is divided into three layers, which can simultaneously support mass offline and real-time data processing.
The three layers are designed as
- the Batch Layer,
- Speed Layer, and
- Serving Layer.
The Batch Layer is used to batch process all data, batch process all data through pre-calculation, and generate different Batch Views. The pre-calculation process will set different time intervals according to different businesses. The speed Layer is used to support Lambda architecture’s real-time data processing process. It is specially used to monitor data changes, process incremental real-time data, and generate Real-time Views for data calculation. The serving Layer is used to respond to the user’s query request. It combines Batch Views caused by the Batch Layer and Real-time Views generated by the Speed Layer to provide users with the final results of the query. Lambda architecture processes batch data and incremental data, respectively, through the idea of hierarchical design to meet the requirements of the real-time query.
Based on Lambda architecture, WiMi’s software, combined with the application of fog computing, further enhanced the system’s ability to batch process data and visualize big data processing. The fog calculation function enables the data to be collected from the underlying data source, and the original data in various formats enter the big data platform, and then go through the data components for preprocessing (collection, classification, etc.), and then split the data into two lines for calculation. One line is to enter the streaming computing platform to calculate real-time indicators; The other line enters the offline computing platform for batch data processing to calculate relevant business indicators. Finally, real-time and offline data will be combined to provide a full indicator data display.
Fog computing is a system-level multi-level architecture from cloud to Thing, with multiple functions such as distributed computing, communication, storage, control, and networking. With the rapid development of artificial intelligence and the Internet of Things, cloud data centers need help to efficiently meet the requirements of processing massive data. Fog computing can process and store data that does not need to be placed on the cloud directly at the network edge layer, improve the efficiency of data analysis and processing, reduce the delay, reduce the pressure of network transmission, and improve security. The fog calculation uses data in a vision-based way, and through in-depth computer learning, it can effectively collect practical information and eliminate invalid data. It supports high mobility, enabling direct communication between network edge devices, and the communication signal does not need to be uploaded to the cloud or go around through the base station, reducing the information transmission distance.
The development of the Internet of Things and big data has brought obvious convenience to people’s lives. With the maturity of the big data algorithm, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI), based on the significant data internet technology data algorithm software, will be widely used in the data processing of all kinds of Internet of Things applications, realizing the organizational structure and decision-making mechanism of the intelligent Internet of Things that is more and more convenient and closer to human society, and providing the Internet of Things world with accessible and ubiquitous smart services.
WiMi Develops An Interactive VR Holographic Imaging System Based on AI.
Source
https://www.newstrail.com/wimi-develops-an-interactive-vr-holographic-imaging-system-based-on-ai/
January 31, 2023
Holographic technology is increasingly used in medicine, health, education, visualization, virtual manufacturing, architectural design, remote control, space technology, entertainment, and many more. Virtual reality, augmented reality, and mixed reality are changing how people perceive the digital world. However, real-world environmental scenes are dynamic.
To better simulate the realities of the world in the digital world, WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed an interactive virtual reality holographic imaging system based on artificial intelligence technology. The system uses artificial intelligence technology to empower virtual reality, improve content quality, optimize and advance the personalized user experience, facilitate more effective interaction between users and technology, and provide users with more realistic virtual reality holographic imaging.
WiMi’s imaging system uses AI to apply to the holographic imaging process. AI dramatically improves the operational efficiency of holographic imaging, such as tracking objects, creating 3D world models, learning model features, and judging them. Deep learning models using AI can help holographic imaging systems to interpret complex environments, apply more realistic models in holographic imaging systems and give users more significant situational interaction, thus optimizing the immersive experience of holographic imaging. Artificial intelligence will help drive the adoption of immersive technology in the consumer and commercial sectors.
AI-based VR holographic imaging circumvents many of the problems associated with coherent imaging systems by applying deep learning to holographic imaging modalities and takes full advantage of its own holographic imaging modalities. The system achieves holographic image phase recovery, phase unfolding, super-resolution, and sensing by supervised optimization of a deep CNN (convolutional neural networks) using accurately aligned image data. CNNs typically contain tens to hundreds of layers of convolutional kernels (filters), bias terms, and non-linear activation functions. The convolutional kernels, bias terms, and non-linear activation functions in a CNN are first trained and then used to perform a predefined image reconstruction task by performing a forward pass through the network to reconstruct an artificially intelligent computed hologram. This reconstruction process typically takes a fraction of a second to complete when using the GPU, without any iterations, manual tuning of any hyperparameters, or refinement of the physical assumptions made about the image reconstruction model. This non-iterative, single-forward propagation reconstruction capability constitutes one of the main advantages of deep learning-based imaging solutions.
The more data collected in an AI-driven holographic imaging system, the more realistic the reconstructed virtual environment is likely to be. Higher-quality data can produce an equally higher-quality environment or even create a more personalized environment for the user. The virtual worlds depicted in the “metaverse” are complex, and building them is not simple. CNNs can process complex images and learn and predict by setting up scalable data pipelines that can help AI deep learning models continuously train, improve models, and optimize the user experience.
In the future, AI is expected to be the engine that drives the holographic industry forward. WiMi will further research the use of artificial intelligence technology applied to interactive virtual real-world holographic imaging systems while integrating holographic interaction technology to render virtual objects in natural scenes or put real things in virtual scenes to make holographic imaging more realistic.
WiMi Develops High-Performance Software For the Holographic Distribution Algorithm.
Source
https://www.newstrail.com/wimi-develops-high-performance-software-for-the-holographic-distribution-algorithm/
January 31, 2023
A holographic database is fully capable of storing all spatial object information. In the future, both digital twin intelligent cities and the development of virtual reality applications will require a database that can store and manage 3D spatial objects. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has always been committed to the development of holographic technology, actively exploring the establishment of holographic database standards, data format standards, holographic engine display standards, query methods, and other database technologies so that holographic data can be easily used, and holographic database can improve the development efficiency of holographic applications.
WiMi Hologram Cloud has developed high-performance database software based on a specific holographic data distribution algorithm. This software mainly aims at detailed holographic data and uses distribution algorithms to realize high-performance database calls.
The high-performance database software based on the specific holographic data distribution algorithm of WiMi Hologram Cloud allows local control of its data in different areas. For example, global data can be entered, queried, and maintained locally. At this time, because the computer resources are close to the user, the communication cost can be reduced, and the response speed can be improved, while the data involved in the database of other sites is only a tiny amount, which can significantly reduce the amount of information transmission on the network; The security of local data can also be improved.
WiMi Hologram Cloud’s high-performance database adopts the autonomy of distributed site local DBMS so that most local transaction management and control can be solved locally. Only when data from other sites are involved must it be managed through the network as a global transaction. Distributed DBMS can be designed to have different degrees of autonomy, from sufficient site autonomy to almost complete centralized control.
Distributed systems have higher reliability and better availability than centralized systems. For example, because the data is distributed in multiple sites and there are many replicated data, the failure of individual sites or individual communication links will not cause the collapse of the entire system, and the local failure of the system will not cause the global loss of control. If the accessed data is in the local database, it can be executed by the user’s computer, which is fast.
Distributed database technology is used to develop global applications based on several established databases, and some changes are made to the original local database system to form a distributed system. This is simpler than rebuilding an extensive database system. It saves time, money, and material resources. The existing distributed database system can also rapidly expand by increasing the number of sites.
With the establishment and use of high-performance database software based on the specific holographic data distribution algorithm of WiMi, its consistent data will be more extensive, and the data distribution algorithm will significantly improve the performance of the database. In the future, holographic databases will not only include geographic data, satellite, and aerial image data, two-dimensional vector data, urban panoramic three-dimensional data, high-precision streetscape data, etc.; They can also include tourism, business, industry, and other information. The holographic database will use the panoramic data collected by satellite, aerial tilt remote sensing, and other technologies to provide users with multi-dimensional map data services and industry solutions such as high-precision street view, urban panoramic 3D, and electronic navigation maps.
WiMi Develops Remote Control System Based On Human-Computer Interaction.
Source
https://www.newstrail.com/wimi-develops-remote-control-system-based-on-human-computer-interaction/
January 30, 2023
With the concept of “intelligent manufacturing,” “Industry 4.0,” and “industrial Internet” put forward, related research has become hot. The transformation and upgrading of digital and intelligent factories are also in full swing in the manufacturing industry. At present, many digital factories urgently need advanced human-computer interaction means to realize remote status monitoring, operation, and maintenance of equipment, to help them learn digital transformation and upgrading.
The development of virtual reality and 5G technology has injected new technical elements into human-computer interaction and remote control technology. With the continuous development of the digital economy, human-computer interaction and remote control based on traditional technology can no longer meet people’s needs. People need to build a system with realistic visualization effects, natural interaction with virtual scenes, and remote equipment control in a virtual reality environment.
It is said that WiMi Hologram Cloud Inc. (NASDAQ: WIMI) combines virtual reality technology, human-computer interaction technology, and remote control technology to develop a human-computer interaction and remote control system of equipment to achieve human-computer interaction and remote control in virtual reality scenarios.
Virtual reality technology can provide a new way to view and manipulate three-dimensional data and add technical power to human-computer interaction and device remote control systems. It allows users to enter the scene built by a computer graphics system and interact with virtual objects. Virtual reality technology involves model building and 3D display, human-computer interaction, wearable sensors, machine learning, and other technology fields. The use of virtual reality technology can provide users with sensory experiences, including vision, touch, hearing, and even smell, so that participants have a strong sense of being there. The virtual reality system collects and captures the user’s motion state information in real-time, thus generating corresponding images and projecting them to the user’s eyes. This technology integrates the latest development achievements of the 3D display, simulation, machine vision, machine learning, parallel processing, and other technologies. It is a high-tech simulation system assisted by computer technology.
The human-computer interaction and equipment remote control system developed by WiMi solves the data acquisition, model construction and display, human-computer interaction, safety control, and other problems that the human-computer interaction and equipment remote control system need to solve in the virtual reality environment. It constructs a complete set of human-computer interaction and equipment remote control systems in the virtual reality environment.
(1) Build the data acquisition system of the system.
The data acquisition system provides data feed support for the system. The state information of various equipment in the field is obtained through the data acquisition system, according to which the virtual model is driven, and the data acquisition method of equipment motion information is obtained indirectly with the help of visual markers.
(2) Complete real-time scene construction and 3D display.
The acquired field equipment data is presented in 3D visualization, including real-time construction, fast loading, dynamic motion, accurate virtual synchronization, and other problems. Finally, the realization scheme of the 3D display and the interactive scheme in the virtual reality environment are studied.
(3) Build a low delay and safe remote control system, and realize the hardware and software connection between the design and the controlled equipment.
In the virtual reality system, the operation instructions generated by the UI interface are sent to the terminal device through the remote control system and are executed.
(4) Conduct system integration and test for the established system module.
This part uses a data cache file to realize the connection between system modules. Finally, the system and its modules are tested to complete the construction of the system.
The development of machine vision, virtual reality, remote control, and other technologies provides good technical support for constructing human-computer interaction and remote control systems of equipment in the virtual reality environment.
New technologies such as virtual reality and 5G communications are expected to be applied to digital production and manufacturing. However, integrating such a complex system that combines software, electronics, and mechanical disciplines also requires the optimization and improvement of various technologies. WiMi uses vital technologies such as man-machine data acquisition, real-time scene modeling, 3D display, and low-delay safe remote control to develop man-machine interaction and equipment remote control system in a virtual reality environment, which further improves man-machine interaction experience and remote control efficiency, and is of great significance for further enhancing the automation and intelligent development of intelligent factories.
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