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WiMi Develops A Highly Reliable SSR System Based on Multi-feature Signal Perception.
Source
https://www.newstrail.com/wimi-develops-a-highly-reliable-ssr-system-based-on-multi-feature-signal-perception/
January 30, 2023
As time goes on, human-computer interaction is no longer limited to keyboard input and joystick operation but is taking on more innovative forms, such as finger movements, the vibration of sound waves, and the rotation of the eyeballs and tongue. These movements allow for the transfer of information and the “dialogue” between humans and machines. As technology continues to evolve, organic user interfaces:
- biometric sensors,
- skin displays, and
- even direct connections between the brain and computers, are beginning to emerge and will undoubtedly have a significant impact on human life.
This will undoubtedly have a substantial impact on human life. Recently, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) announced a highly reliable silent speech recognition system based on multi-featured signal sensing technology. Through silent reading or body movement recognition, the system can convert electrical signals from body movements or vocal cord movements into speech, allowing the system to decipher what a person is trying to say without the user having to give voice commands, thus enriching the human-computer interaction scenario of “machine understanding human language.”
Current voice recognition technology is a hands-free interface mode for VR applications, but it has several drawbacks, such as limited usability in noisy environments or public places and limited access for those who need to speak loudly and clearly. The system developed by WiMi enables SSR (silent speech recognition) by using either limb movements or fEMG (facial electromyography) in a holographic AR environment. Holographic EMG signal data or vocal fold vibration signal data presented by a person’s face or limbs are first captured, and then the two types of data captured are pre-processed separately. After feature extraction and fusion, deep learning is used to perform recognition and finally send the recognized command results to the receiving or controlled device.
To improve the system’s accuracy in classifying signals recorded at greater distances, WiMi developed a deep neural network-based classification method using an SSR system with fEMG in a holographic environment. The technique uses similar fEMG data previously collected from other objects, which is then transformed by holographic dynamic position distortion. When a person is speaking or thinking silently, the vocal-related limb muscles are influenced by the brain’s output nerves to produce different states of activity corresponding to the other content the brain wants to represent. The system acquires information from the brain by capturing surface EMG signals from the limb or vocal muscles and processing and recognizing them to perform voiced or unvoiced speech recognition. For feature recognition, the system uses independent CNN (Convolutional Neural Networks) to learn the features of each channel signal.
The developers have designed three structures:
- a one-dimensional convolutional network,
- a two-dimensional convolutional network, and
- a parallel convolutional network, configured the network model parameters, and optimized the network model structure.
For machine learning, the system uses Support Vector Machine, Random Forest, k-Nearest Neighbor, and Hidden Markov Model methods and continuously optimizes the model parameters during training and recognition. The model parameters are continuously optimized during training and recognition.
WiMi’s highly reliable SSR system based on multi-feature signal perception technology achieves silent speech recognition by combining holographic visual information and facial or limb electromyographic information to promote further development of speech recognition technology and expects to provide new ideas and methods for the current speech recognition field.
WIMI Effectively Solve The Problem Of Information Silo With Its Data Interaction System.
Source
https://www.newstrail.com/wimi-effectively-solve-the-problem-of-information-silo-with-its-data-interaction-system/
January 20, 2023 Time: 7:53 am
With the continuous improvement and development of the scale and technology of the information system, the degree of information technology is constantly improved, and the construction of information technology has been vigorously promoted. The number of information technology applications in various enterprises is constantly increasing, and the data exchange between applications is becoming more and more frequent. However, due to the different periods of the application system or the use of various technologies in the enterprise, the data source in each application system becomes the “information island” that cannot interact directly. How to provide solutions for the sharing and system integration of various data and information in the enterprise, provide global data view, global data authority view, and perfect data exchange service for the application system in the enterprise, solve the problem of “information island” in many application systems in the enterprise, and enable various data resources to interact between the application system has become a difficult problem.
WIMI Hologram Cloud INC. (NASDAQ: WIMI) integrates data mining technology and neural network topology visualization technology to develop a data interaction system, which meets the requirements of real-time data interaction, realizes flexible configuration of data interaction, and effectively solves the problem of “information island”. In addition, it uses encryption and redundancy checksum technology to realize secure and reliable information transmission, ensuring the integrity, accuracy, reliability, and security of the data interaction process.
Data mining is a hot topic in the field of artificial intelligence and database, which is the integration of database technology and artificial intelligence technology. The so-called data mining refers to the process of mining valuable and useful information from a large amount of data in the database, and the process of searching for hidden information from the massive data through the algorithm. At present, data mining has developed a set of mining models covering association, classification, clustering, and so on.
The whole process of data mining is as follows:
- (1) Data cleaning:
Original data used for knowledge discovery in practical applications are usually incomplete. Except for special applications such as outlier analysis, noise should be eliminated, inconsistent data should be deleted, abnormal and wrong values should be corrected, and uncertain or incomplete values should be completed.
- (2) Data integration:
combining data from multiple sources and different forms into one data.
- (3) Data selection:
Extract and analyze data related to the task from the database.
- (4) Data conversion:
data is converted and unified into a form suitable for mining through aggregation operations.
(5) Data mining:
As the most important step in the whole process, it is the most core operation, using automatic and intelligent methods to extract data patterns.
- (6) Pattern evaluation:
Patterns of knowledge screening according to specific interest measures.
- (7) Knowledge representation:
visualization and knowledge representation techniques are used to display the mined knowledge to users.
In data mining, WIMI uses neural network technology to classify and analyze data. The neural network has the following advantages:
- firstly, it can tolerate noise;
- Second, it provides high precision for complex nonlinear mapping.
- Third, it can be implemented on parallel hardware and has a high degree of maintainability,
- fourth, it can be easily updated with new data, and can be easily automated.
At present, the neural network has been widely used in image recognition, segmentation, speech recognition, and other fields. Using the training method of simulating human brain information transmission, the network structure can be fundamentally changed and better training performance can be obtained. The visualization of neural network topology presents the connection relationship of network nodes in the form of graphic images composed of points and lines, which can clearly and intuitively reflect the operating status of the network, assist people to evaluate, forecast, and analyze the network nodes, links, and other aspects, and effectively understand and understand the internal information, rules, and changes of the network.
Through the extraction of network topological structure features and geometric mapping, users can observe and analyze the drawing results to complete visual reception. For time-varying data, the time-varying evolution process of network structure can be shown through animation simulation and other expressions, to help users think and conclude, build a basic understanding of the timeliness of network data, and optimize the drawing results through continuous iterative interactive feedback. With the help of other hardware auxiliary devices to improve users’ cognition of the potential information characteristics and rules of large-scale complex network data.
In addition to visual presentation, WIMI’s data interaction system based on data mining and neural network topology visualization can also achieve user interaction. Interaction is a process in which users manipulate and understand data through dialogue and interaction with the system. The interactive operation effectively alleviates the contradiction between limited visualization space and data overload, helps expand the space of information expression in visualization, and solves the gap between limited space and data volume and complexity. At the same time, interaction can enable users to better participate in the understanding and analysis of data, help users explore data, and improve data cognition.
With the development of the Internet, the visualization technology of network topology develops vigorously. With the development of graphic computing and virtual reality and other emerging technologies, the research on the visualization technology of network topology has made great progress. It also has a wide range of application prospects in the aspects of network topology analysis, security situation awareness, management, and Internet modeling.
Data mining is a multidisciplinary technology. The use and combination of related algorithms and technologies vary according to different application scenarios and needs. The application of the interpretability of neural networks in data mining will also become a valuable research direction, and the theoretical research will ultimately serve specific needs and applications. How to combine the two in the application needs to be explored continuously in the future. WIMI will also conduct further exploration in this field and strive to make breakthroughs, to have a far-reaching impact on the improvement of social and economic benefits.
WiMi Upgrades The Digital Cloud Platform By its Virtual Imaging Model Design System.
Source
https://www.newstrail.com/wimi-upgrades-the-digital-cloud-platform-by-its-virtual-imaging-model-design-system/
January 19, 2023 Time: 7:27 am
Digital twins are virtual copies of real physical systems. Virtual entities and entities are connected through data exchange. Through this connection, the real-time dynamics of entities can be monitored. The digital twin platform uses the massive system state data obtained by the sensor network to synchronize the physical system with the digital model in the digital space; Taking the data as the driving force, the twin model is constructed, and then the deduction process of the physical system is simulated in the digital space; Furthermore, the twin system can be inferred and predicted in digital space, and effective information can be obtained by combining sensing technology, which will react on physical entities to provide support for their intelligent decision-making and efficient operation.
With the progress of holographic technology and the expansion of in-depth applications, WiMi Hologram Cloud INC. (NASDAQ: WIMI) has developed a model-building design system for virtual imaging digital 3D modeling, which is applied to the digital twin cloud platform to provide more sophisticated digital building services for smart cities, smart industries, and other fields.
The model building and design system of WiMi Hologram Cloud Virtual Imaging Digital 3D Modeling adopt the point cloud modeling method and converts the point cloud data into 3D grids by importing it into the digital environment for editing and other operations. The three-dimensional point cloud modeling method can provide more dimensional and rich data for the system, integrate artificial intelligence technology for in-depth mining and understanding, and help developers more keenly capture the real subtle changes of people, objects, and scenes, extract key data, learn internal knowledge logically, and realize the perception and understanding of complex scenes.
Compared with traditional 3D models, 3D point cloud technology is not constrained by artificial modeling surface equations and surface continuity. It can restore any complex geometric object with high accuracy and convenience, and present finer details and sharper edges. The point cloud-based 3D modeling method can quickly build a highly realistic 3D model directly from the discrete points on the object or space scene surface, which greatly reduces the threshold of 3D content creation and improves the modeling precision and speed.
The WiMi Hologram Cloud R&D team combines 3D models with real-time data to describe the actual situation of the physical world, so as to build a digital twin model. A one-to-one virtual body can be reconstructed in cyberspace through the digital and real-time perception of real entities and elements. From 3D model to digital twin model, WIMI 3D modeling system enables the digital twin cloud platform to realize digital, information, and intelligent technology transformation and complete the upgrading of data, information, and knowledge service requirements. In the digital transformation of various industries in society, a digital twin is a fast and effective tool. It is a thorough, all-around, and systematic digital twin for the complex systems in the modern physical industry so that the entire physical industry is in a completely digital, intelligent, and information-based intuitive state, and the industrial metaverse is realized.
The WiMi Hologram Cloud INC. (NASDAQ: WIMI) R&D team has always adhered to the high-quality innovation and development of 3D modeling technology, and constantly improved its system’s ability to adapt to various complex environments for fine, real-time, intelligent, automatic, and low-cost 3D modeling. At the same time, it is also actively exploring to continuously enhance the digital twin technology in multi-source real-time data fusion The supporting role and engine role of association analysis and intelligent mining provide a more robust digital twin platform for data-driven, model-driven, knowledge-driven collaboration, comprehensive perception, accurate diagnosis, and reliable prediction.
WiMi Develops The 5G Remote Holographic Real-Time Interactive Education Management System.
Source
https://www.newstrail.com/wimi-develops-the-5g-remote-holographic-real-time-interactive-education-management-system/
January 17, 2023
In recent years, with the rapid development of science and technology, the field of education also ushered in the wave of science and technology. The rise of the 5G network makes it a new possibility for remote holographic real-time interactive education. Remote classroom interactive teaching has become popular in the current 5G application. By using technologies such as “5G+VR/AR”, “5G+holographic projection”, and “5G+4K/8K remote live broadcast (fast live broadcast, slow live broadcast)”, WiMi can create an immersive smart classroom, interactive online teaching, and virtual simulation experiment teaching. This kind of scene has become a reality in many places.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) develops a real-time interactive education management system based on 5G remote holography, which can improve the efficiency and effect of remote holographic education but also meet the needs of modern education. WiMi 5G holographic interactive education management system adopts the holographic remote rendering real-time 3D reconstruction framework, integrates interactive holographic technology, and realizes remote real-time interactive communication. The system combines holographic technology with distance education to make the teaching process closer to authentic offline teaching.
The 5G remote holographic real-time interactive education management system generates real-time 3D images locally through 3D image reconstruction technology, uses depth sensors to obtain data and preprocess, removes the background, and brings a foreground mask that only contains the object itself and has no background. After getting the foreground mask of the captured data, extract the 3D point cloud. Holographic algorithm technology is used to make the surface of the 3D model with point cloud data as input. The resulting 3D model is then applied with texture mapping. After reconstructing the texture 3D model of the local object, the data, including mesh, texture, and audio, will be transmitted to the remote location through the network. After the real-time 3D reconstruction phase is completed, the next step is to enable 3D remote rendering. The locally generated textured 3D model is transmitted to the remote location through the network and displayed in the remote location in real time, enabling local and remote users to interact through remote rendering.
With the rapid popularization of the 5G network, 5G technology can provide a higher data transmission rate, greater bandwidth, lower delay, and more robust network security, which makes remote holographic education more stable, more real-time, and more secure. The gigabit bandwidth capability of the 5G network ensures “instant access” to remote audio and video, and edge computing provides technical support for real-time processing and distribution of audio and video content. The 5G millisecond-level low delay makes the interaction between the local and remote more natural and smooth, and the real-time natural presentation of voice and expression makes the interview interaction more immersive and in-depth.
Using a 5G network, WiMi 5G holographic interactive education management system can realize virtual real-time interaction, which will significantly improve the efficiency and quality of distance education. Using holographic technology to give students a strong visual impact and immersive experience, enrich teachers’ classroom demonstration teaching aids, increase the interest in classroom teaching, and effectively improve students’ learning efficiency and sense of adventure.
WiMi 5G remote holographic real-time interactive education management system uses real-time 3D reconstruction captured by a depth sensor and integrates it with a holographic remote rendering application. Holographic projection technology is widely considered one of the most promising 3D display technologies and is expected to be more commonly used soon. Under the wave of 5G+AI in the future, holographic teleconferencing, telecommuting, and home telecommuting will all be a vast market.
6G Stimulates WiMi’s Super Intelligent Network System Creating A Holographic Smart City.
Source
https://www.newstrail.com/6g-stimulates-wimis-super-intelligent-network-system-creating-a-holographic-smart-city/
January 16, 2023
With the development of research and application of artificial intelligence technology, intelligence has become the goal pursued in various fields. In the high-speed network scenario, the large bandwidth, low delay, and comprehensive connection characteristics of the 6G communication network enable the large-scale collected data to be uploaded and then combined with big data, artificial intelligence, and other technologies for comprehensive processing and analysis, so that 6G can enable global intelligence and achieve the close combination of AI, digital twins, and 6G networks.
High-speed network scenarios usually need to collect a large amount of environment and scene data and have high network adaptability and situational awareness. Therefore, such scenarios propose high transmission bandwidth, strong network situational awareness, and communication network adjustment capabilities to meet the requirements of brilliant AI integration.
With the perception, fusion, analysis, and simulation of city-level data, smart cities are gradually moving toward the direction of “life-like.” WiMi Hologram Cloud Inc. (NASDAQ: WIMI) put forward the concept of “super-intelligence” formed by the mutual integration of human brain intelligence and machine intelligence, combined 6G with artificial intelligence technology, developed WIMI super intelligent network system, and promoted the holographic digital perception, whole quantitative aggregation, good management and control, intelligent implementation and integrated services of urban governance.
Through the 6G high-speed, dedicated information channel, the massive data and high-performance data transmission generated by the acquisition end provide a solid data layer foundation for AI processing and analysis. Using AI technology to perceive more dimensional and comprehensive data and improve the data transmission processing speed, urban management and service level are comprehensively improved through remote data interaction capabilities.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) super-intelligent network system can collect multi-source and multidimensional data such as urban traffic and public safety, realize intelligent real-time monitoring and analysis based on comprehensive urban data, provide holographic digital management for the natural environment and urban environment, allocate urban resources, and carry out abnormal status early warning. It can also obtain massive data by collecting peripheral and other vehicle information and provide automatic driving service after intelligent body analysis and decision-making. Let artificial intelligence “think quickly” and “know everything” simultaneously.
WIMI super intelligent network system has built a super-intelligent unified management digital twin city model and uses forward 3D modeling, oblique 3D photography, point cloud holographic real scene scanning, and other technologies to improve CIM spatial holographic information such as BIM of important buildings, roads, and underground pipe networks. The database construction combines the Internet of Things (IoT) technology to achieve the organic integration of various types of urban spatial holographic information, build a digital urban holographic multidimensional map with all elements, high precision, and fine granularity, and achieve real-time quantitative analysis, pre-judgment and early warning, and holographic dynamic display of the overall situation, project construction, comprehensive social governance, government services, emergency management, and other global operating conditions.
Analyze and process images, videos, events, and other data in urban governance, including data aggregation engine, data analysis, and mining, data scene governanDataough data cleaning, unified coding, Spatiotemporal model matching, and other processing, form a real-time perceptible holographic urban digital twin floor.
The system is also based on OpenStack/Kubernetes and other open-source technology frameworks, which can be directly used for in-depth optimization, development, and construction, and provides open and standard protocol interfaces. It encourages users to secondary outcomes, builds a sustainable urban holographic digital ecosystem, and forms a full stack, full business service capability around IaaS, PaaS, DaaS, and SaaS. It has super intelligent integrated service functions that are easy to manage, operate and maintain.
WiMi believes that a city’s healthy and stable operation depends not only on the system itself but also on a series of urban management activities and decisions that need a lot of data to support. The “infrastructure data,” “public information data,” “public security data,” “government efficiency data,” and “resource coordination and economic monitoring data” generated in the urban operation are scattered everywhere. With the development of intelligent informatization, many data resources have been accumulated. Therefore, WiMi will continue to use the 6G high-speed, dedicated information channel, combining the city-level multi-source data fusion based on the time-space framework, the whole stack AI intelligent collaborative response, the knowledge management, and profound discovery of massive data, global information insight and the available industrial ecology, to promote the further development of the holographic smart city.
WiMi draws a new picture of the development of the IoT.
Source
https://www.newstrail.com/wimi-draws-a-new-picture-of-the-development-of-the-iot/
January 13, 2023
From the accumulation of the Internet of Things, big data, and artificial intelligence technologies to the explosion of a variety of innovative scenario applications, the process of social intelligence is accelerating, and the era of actual interconnection between digital technology and the natural world has arrived.
The Internet of Things (IoT) is the third wave of the development of the world’s information industry after computers and the Internet. In recent years, it has been a hot word that keeps pace with mainstream IT technology keywords such as cloud computing, big data, machine learning, and artificial intelligence. According to the latest forecast released by IDC, the scale of global Internet of Things (enterprise level) expenditure is expected to reach 1.1 trillion dollars by 2026. WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has been paying close attention to the development trend of the Internet of Things technology, actively exploring the integration and development of a geographic information system (GIS) and developing a multi-dimensional data sharing system based on the time-space integration technology of the Internet of Things, and obtaining the software copyright.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has been studying the critical technologies of spatiotemporal data analysis of the Internet of Things. Aiming at the characteristics of the spatial data in the Internet of Things, such as magnanimity, relevance, sparsity, and fragmentation, it focuses on the critical technical issues of the Internet of Things, such as data integration methods, Spatio-temporal semantic information expansion methods, multi-dimensional statistics and Spatio-temporal semantic mining methods, The multi-dimensional data sharing system based on the Spatio-temporal fusion technology of the Internet of Things has been developed and completed for the Spatio-temporal data analysis of the Internet of Things, to provide core essential technical support for the efficient expression, fusion, and analysis of Spatio-temporal data of the Internet of Things, and provide core technical support for the Spatio-temporal data analysis of the Internet of Things.
The multi-dimensional database of the time-space fusion technology adopted in the system developed by WiMi has two dimensions:
- time attribute and
- space attribute.
Big data that is directly or indirectly associated with time and location, taking the Earth as the object, based on a unified time-space benchmark, has multi-dimensional characteristics such as time dimension (T), space dimension (S) and attribute size (D). For example, GPS data first has a location point, which is the attribute of space, and the time of entry is the attribute of time. The system can realize a series of functions, such as efficient access to massive real-time data in the Internet of Things, continuous real-time processing and analysis, and visualization based on spatial data. It is a unique Internet of Things system platform that can integrate the dual dimensions of time and space.
The system can extract information from the hologram for analysis, or compare it with different scenes, identify changes in buildings, farmland, rivers and other things, and monitor changes in typhoon weather, haze, emissions and water systems to deal with emergency disasters, environmental protection, natural ecological protection and monitor the impact of human activities on the Earth.
It can present data visualization based on people or objects, holographic interactive analysis, such as thermal analysis and trajectory analysis, which can help governments and enterprises better grasp and deal with traffic congestion, public security, unreasonable planning and other problems caused by urban population growth, while bringing intelligent and automatic management mode, improving the overall efficiency of the city and reducing operating costs; The holographic vector map is used as the base map to conduct interactive analysis with vehicle data and big data of the Internet of Things, so as to help realize intelligent networking, automatic driving, unmanned driving, etc; It can also analyze the geographical location, interest, information, text, etc. in series based on the POI interest points of the map, carry out multi-dimensional semantic, temporal and other analysis, and enable different industries to achieve two-way management and urban planning needs of data classification and integration.
The research achievements of WiMi have broad application prospects. Research on the expression, integration, and analysis technology of time-space data of the Internet of Things will not only help to improve the level of intelligent analysis and application of the Internet of Things but also have significant social and economic value for smart cities, intelligent transportation, emergency management, and other fields.
WiMi Develops Holographic Vision-Based HV-SLAM For Passive Navigation System.
Source
https://www.moomoo.com/community/feed/109674638802949
January 12, 2023
With the recent development of intelligence and algorithms, SLAM (simultaneous localization and mapping) technology has become one of the focus of market attention. SLAM or CML (Concurrent Mapping and Localization), instant localization and map construction or concurrent map building and localization, is considered to be a key technology for robots or some intelligent devices to perform autonomous mobility. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has been investing in the R&D of SLAM for hologram vision 3D map construction, HV-SLAM. In general, intelligent machines such as robots and drones that need to move and cruise usually also use this technology, such as satellite navigation control. However, user may encounter many technical problems, such as signal loss, or a 3D complex structured environment. Positioning will be needed because it can sense the surroundings in an unknown environment through sensors for the positioning of the machine and thus the navigation.
WiMi's HV-SLAM is a technology for passive navigation and self-cruising positioning. HV-SLAM is crucial for the mobility and interaction of intelligent devices such as robots, drones or UAVs, because it represents the basis of this capability: knowing the location, surroundings, how to act autonomously next. It can be said that any intelligent body with some mobility has some form of SLAM system.
WiMi's HV-SLAM obtains images from a depth camera. The camera contains three core devices:
- a laser projector,
- an optical diffraction element (DOE), and
- an infrared camera, which are used to form a 3D holographic map of the system.
It allows the device to better intelligently determine its course of action and how to act. For example, when robots come to an unfamiliar environment, to quickly familiarize with the environment and complete the task, then robots will need to do the following things.
Feature extraction:
acquire information such as the surrounding environment with the sensor and record the feature data.
Map construction: according to the information acquired by the sensor, the environmental features are constructed in the system in the form of a 3D holographic map.
Dynamic calibration adjustment:
during the movement, new feature landmarks are continuously acquired and the 3D holographic map model in the system is corrected.
Trajectory annotation:
determining its position based on the feature landmarks acquired during the previous period of movement.
Loop closure detection:
check whether the loops can be matched and return safely.
The algorithm of WiMi’s HV-SLAM constructs a 3D holographic map of the world in real time and simultaneously tracks the position and orientation of the camera (head-mounted on a handheld or augmented reality device or mounted on a robot). Combining convolutional neural networks and deep learning to achieve self-cruising positioning passive navigation functions, HV-SLAM focuses on geometry and space, while deep learning is applied to perceive and recognize objects to give suggestions. Computer vision techniques are applied to visual SLAM that includes detection, description and matching of salient features, image recognition and retrieval, etc. to significantly improve efficiency. The HV-SLAM system can help the machine understand the world in front of it geometrically, i.e., build associations in the local coordinate system, while the deep learning system can help the machine perform classification reasoning, i.e., build associations between different object instances.
Of course WiMi’s HV-SLAM also has some algorithms that in reality may need to be considered and continuously optimized and upgraded. Going forward, multi-sensor fusion, optimized data association and loopback detection, integration with front-end heterogeneous processors, improved robustness and repositioning accuracy are the next development direction of SLAM technology, but these will be gradually resolved with the development of consumer stimulus and industry chain.
WiMi Develops Web3.0 Holographic Space Internet Technology to Lead Industrial Upgrading.
Source
https://www.newstrail.com/wimi-develops-web3-0-holographic-space-internet-technology-to-lead-industrial-upgrading/
January 11, 2023
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has been committed to the development of holographic technology research and application, and has muscular technical strength and patent support in both software development and hardware development, and also actively explores solid layout in many new technology areas, and has achieved a lot of results in the development and application of Web 3.0 holographic space Internet technology.
The Internet has been developed for decades and is now the third generation of Internet technology.
- Web 1.0, also known as a static network, only provides access to limited information without rich user interaction or algorithms for filtering Internet pages, which makes it difficult for users to find relevant information. It was like a one-way street of data, with content creation done by a few people and information mainly coming from directories.
- Web 2.0 has more advanced technologies, such as JavaScript, HTML5, CSS3, and other Web technology advances, making Web 2.0 more interactive. Social networking and user-generated content open the way as data can now be distributed and shared across various platforms and applications.
- Web 3.0 is the next stage of Web development, which scientists call the holographic spatial Internet. It will build a three-dimensional holographic virtual world through a new generation of technology iterations and convergence that will subvert our current graphics technology to blur the boundaries between the real physical world and the virtual digital, which will be a holographic Internet world. WiMi is a pioneer in this field. This technology will bring a new immersion in advertising, intelligent industry, real estate, medical health, e-commerce, social and other fields, bringing some disruptive interactive applications to the industry.
People have experienced Web 1.0 and Web 2.0. People know the convenience that the Internet brings to our lives and can deeply feel that our current Internet should be wiser and more intelligent, and the effect of the experience should be more comfortable. To achieve Web 3.0 holographic space, Internet human-computer interaction is essential, which will be a new way of control, and WiMi has been in the industry-leading position.
WiMi’s XR technology-based human-computer interaction system, virtual reality human-computer interaction terminal, and other human-computer interaction-related technologies have obtained the corresponding patents. WiMi also applied for a convenient three-dimensional touch interaction system based on image processing technology, an XR technology-based human-computer interaction system. Through the combination of spatial computing and human-computer interface, the system can quickly collect information about the surrounding environment and interact with real-time information online in the future.
People have already opened a new chapter in the initial development of human-computer interaction through such hardware as smartwatches and smart glasses. With future technological development and innovation, these devices will become smaller and smaller, highly portable. With the development and application of artificial intelligence, voice control, and brain-computer interface technologies, people will also usher in a new Web 3.0 holographic space Internet era.
WiMi has been developing holographic space Internet technology and over 200 patents and 400 software patents related to holographic space Internet technology, each of these innovative technologies contributes to the development and ultimate realization of Web 3.0 holographic space Internet. It is more of a complete upgrade of technology and experience.
Just as people would not have thought before 2010 that our lives and work would now be inextricably linked to our cell phones, so people have the perfect opportunity to compete and gain an absolute advantage in a whole new technology in the Web 3.0 era and to usher in a challenging technological disruption and transformation of the Internet industry. The emergence of smart cities and factories, self-driving cars and homes, smart appliances and virtual reality worlds, automated shopping, and digital personal healthcare are changing how people live, play, work, travel and shop. Our technology is exploding from the transformation of screens into the physical world around us. At the same time, the people, places, and things in our world are being digitized and brought into the virtual world as part of the digital realm. People are digitizing the physical world and “physicalizing” the digital world. The clear line between the real and the virtual is disappearing. The technologies seen in the science fiction stories of the last century will be realized through this round of technological development.
WiMi developed The AI RAN Side-Network Slice Management System.
Source
https://www.newstrail.com/wimi-developed-the-ai-ran-side-network-slice-management-system/
January 11, 2023
WiMi Develops A Highly Reliable Silent Speech Recognition System.
Source
https://www.newstrail.com/wimi-develops-a-highly-reliable-silent-speech-recognition-system/
January 10, 2023
Language is the most common and direct way of human-to-human communication, and automatic speech recognition (ASR) is the most favored interaction method for future human-computer interaction. However, ASR also has limitations, such as degraded ground recognition in the presence of ambient noise, restricted privacy, and poor accessibility for patients with severe speech impairment, which prompt the need to use alternative non-acoustic modes of the human voice or silent speech recognition (SSR) technologies to assist. SSR converts electrical signals from facial and laryngeal vocal fold movements into speech signals and decodes what the user says through silent reading recognition without making a sound. Eye tracking, facial expression recognition, and brainwave control are all silent recognition technologies. SSR is a practical input in noisy environments, underwater or in space.
There are generally two ways of SSR. One is to install sensors to the terminal and judge the content of the user’s speech by sensing the airflow when the user speaks; the other is to analyze the facial sEMG (Surface Electromyography) signal characteristics when a human says by collecting the facial sEMG signal and correspond the sEMG signal to the text through the training of the neural network.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops a highly reliable silent speech recognition system (WIMI SSR system) based on multi-feature signal sensing technology, which uses a multi-signal sensor and signal processing algorithm system to recognize silent words and phrases from surface sEMG signals involving facial and neck muscles. The WIMI SSR system recognizes silent words and phrases from sEMG by signal to recognize words, then recognizing word sequences using a grammar model, and finally recognizing untrained words using a phoneme model and transferring the untrained sEMG signal features to the deep learning module. The SSR algorithm is integrated with specially designed multi-featured signal sensors that can be arranged in flexible geometries to record high-fidelity sEMG signal measurements from the small articular muscles of the face and neck.
SEMG is one of many bioelectrical signals and is one of the relatively most accessible electrophysiological signals to acquire. By placing electrode pads on the skin surface of the human body, the weak potential difference generated by muscle contraction on the skin surface can be recorded, and this possible weak signal is amplified and converted by the EMG acquisition circuit to form a surface EMG signal that can be used for processing.
Pre-processing:
The acquired sEMG signal is processed by the software, denoised by the wavelet transform (WT) denoising method, resampled according to the processing performance, and the signal is analyzed and operated from the time domain, frequency domain, or time-frequency domain.
Feature extraction:
Used in combination with signal segmentation (window splitting), the moving window method is used to extract feature variables in a specific small window, which on the one hand can reduce the dimensionality, and on the other hand, the number of features can better reflect the characteristics of the segment relative to the original data, and the time-series signals often have context-dependent characteristics, so a certain overlap can better reflect the features. In the segmentation window to extract features, these features can be divided into time-domain segments, frequency-domain parts, and time-frequency-domain components, including deep learning methods CNN from a large amount of data to extract some “black box” features.
Feature classification:
The sEMG signal features are modeled with their corresponding categories by machine learning methods (including deep learning).
SSR technology ensures that users can express their intentions without making a sound, move their mouths in private without making an audible speech, and recognize the articulated information as visual content in noisy environments.
The successful application of WiMi’s multi-featured signal sensing technology’s highly reliable silent speech recognition system (WIMI SSR system) not only helps people with hearing and speech impairments but also applies to scenarios including disaster sites, extra-vehicular exploration, underwater operations, and factory floors. In the future, let the machine understand human language.
Relying only on sound information is not enough, “sound, light, light, heat, magnetic” and other physical perception technology must be integrated to use, so that the machine, beyond the five human senses, can see what humans can not see, hear what humans can not hear. Let the device hear far beyond human perception, which is not only the progress of the algorithm but also the need for the entire industry chain of standard technology upgrades, including more advanced sensors and more robust arithmetic chip.
WiMi develops intelligent algorithm video analysis security warning system.
Source
https://www.newstrail.com/wimi-develops-intelligent-algorithm-video-analysis-security-warning-system/
January 10, 2023
With the wide application of intelligent video analysis technology and the continuous upgrading of innovative visual image recognition technology, the intelligent video analysis security early warning system based on a central processing algorithm provided by WiMi Hologram Cloud Inc. (NASDAQ: WIMI) helps AI to be implemented in intelligent production, smart city, intelligent security, and other fields. WIMI intelligent video analysis security early warning system enables traditional cameras to provide enterprises with comprehensive management services of intelligent video identification and analysis. With the continuous development of computer, communication, and image processing technology, the video surveillance system has gradually become an essential means of security.
WIMI intelligent video analysis and early warning systems are based on the central processing algorithm and machine vision recognition technology. It uses a deep learning model to train many behavior data. Collecting video information through the on-site camera can actively identify the behavior of people and objects in the area, analyze the abnormal behavior of people and the unsafe state of things, and achieve active early warning.
WIMI intelligent video analysis and early warning system can establish a mapping relationship between image and image description and conduct digital image processing and analysis to understand the content of video screen; Embed the central processing algorithm and artificial intelligence technology in the digital signal processing (DSP) system, and form the core central processing intelligent algorithm by analyzing and refining various behavior modes of the target; In practical application, through comparison and comparison, identify the classification of collected figures, investigate the category of behavior actions, label the frame outline and action trajectory of the target, and give early warning and real-time alarm.
WIMI intelligent video analysis technology uses background subtraction technology to detect image changes (such as intrusion, packet loss, retrograde, and other image changes), compares the video frame with the reference background image, changes in pixels (areas) at the exact location are regarded as change areas, and these areas are further processed, identified and tracked to obtain the target location, size, shape, speed Based on the basic morphological and dynamic information such as dwell time, the target tracking and behavior understanding can be realized. The mapping relationship between images and image descriptions can be completed so that the system can further determine rules until an alarm is triggered.
WIMI intelligent video analysis configures the event detection to trigger the alarm function in real-time and aggregates the historical information to display it as a chronological chart, graph, or heat map for the AI system to conduct in-depth learning. This technology has obvious advantages over traditional video analysis methods. The artificial intelligence algorithm engine can automatically check the video stream frame by frame in detail and ensure stable and reliable results for 7 * 24 hours. This technology can help employees filter related events and send warning notices when action is needed. For example, in traffic early warning, the system can timely and accurately analyze and understand massive video data, obtain primary traffic data in real-time, predict traffic congestion and traffic accidents, achieve intelligent identification, early detection, and automatic alarm, reduce the workload of traffic controllers, improve monitoring accuracy, and make urban road traffic management more effective.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) intelligent video analysis and early warning system is developed based on artificial intelligence technology, which can meet the application needs of smart monitoring in smart cities, smart factories, intelligent transportation, and other industries. With the development of science and technology, thoughtful video analysis and early warning systems will be more and more widely used in people’s livelihoods, and the technology will be more and more mature and reliable.
WiMi Researches on 3D Detection Algorithm By Multi-Channel Convolutional Neural Network.
Source
https://www.newstrail.com/wimi-researches-on-3d-detection-algorithm-by-multi-channel-convolutional-neural-network/
January 10, 2023
With the rapid development of computer vision and artificial intelligence, there are many intelligent detection technologies, such as image-based object detection and scene recognition. In recent years, significant progress has been made in the research and application of convolutional neural networks in visual recognition. For example, convolutional neural networks are applied to algorithm research in three-dimensional object detection.
It is said that the R&D team of WiMi Hologram Cloud Inc. (NASDAQ: WIMI) is developing a 3D object detection algorithm based on a multi-channel convolutional neural network, which uses RGB images, depth images, and BEV images as network inputs to regression the category, 3D size and spatial position of objects respectively. The multi-channel neural network system combines RGB, depth, and BEV images to realize 3D target detection.
BEV images provide information perpendicular to the camera’s viewpoint and can represent the spatial distribution of objects. Point cloud projection generates a BEV image, which is used as the neural network input to improve the accuracy of 3D target detection. The convolutional neural network is used to process the input point cloud data directly, the coding and feature extraction problems of disordered point clouds are solved, and the end-to-end regression of the three-dimensional boundary box is obtained.
Only 3D suggestion frames are extracted directly from monocular images, and 3D boundary frames are estimated. Laser point clouds are combined with visual information, and point clouds are projected into bird ‘s-eye view images (BEVs). The data is input into the convolutional neural network, and the information is fused to estimate the 3D boundary box. The fusion of multiple information is beneficial to detect the target in 3D space better.
The three-dimensional object detection algorithm based on a multi-channel convolutional neural network developed by WiMi can simultaneously identify the category, spatial position, and three-dimensional size of objects, significantly improving object detection’s accuracy and efficiency. The multi-channel target detection neural network system can extend the two-dimensional image target detection to three-dimensional target detection. The input expands to three channels, including RGB images, depth images, and BEV images.
- Firstly, RGB, depth, and BEV images are used as the network’s input. The convolutional neural network obtains the feature map, and the spatial pyramid pool layer generates the feature vector of the suggested region in the feature map.
- Then the target’s classification and position regression are realized using classifiers and regressors. The classifier is mainly used to judge which category the feature extracted in the proposal belongs to.
- Finally, multitask regression is performed through two fully connected layers to predict object categories and 3D bounding boxes.
Three-dimensional object detection and recognition have always been an essential technology in computer vision, which is the basis for machines to understand and interact with the world. At present, three-dimensional object detection technology has many applications in navigation, intelligent robots, uncrewed vehicles, security monitoring, and other fields.
With the progress of 3D data acquisition technology, the enhancement of computing power, the development of deep learning technology, and the increase in application demand, the research and application of 3D vision technology have received more and more attention. The 3D object detection algorithm based on a multi-channel convolutional neural network researched by WiMi has extensive application prospects in the fields of automatic driving, intelligent robot, ARVR, remote sensing, biomedicine, and so on.
3D object detection algorithm technology is the integration of ground wireless communication technology, mobile communication technology of medium and high-low orbit satellites and short-distance direct communication technology. With 3D object detection algorithm, we are closer to a world of holographic spatial information interconnection.
At this stage, the physical world is highly represented in detail in the digital field, analyzed and processed, and people will be placed in it to achieve holographic spatial information interconnection. As a critical infrastructure, the 6G network provides high-capacity links with low-end end-to-end latency and secure computing capabilities throughout the network, enabling virtual representations of people and physical devices to exchange information with each other in the digital domain.
In the new era, WiMi Hologram Cloud combines artificial intelligence, big data, and other technologies to build a number of agents to realize the organic integration and multi-way interaction between the physical world and the digital world. At the same time, WiMi provides new research aspects on virtual and real integration. AR, Holographic, VR, and AI technology are not only simple display tools, they will be more fusion of the artificial intelligence industry and a variety of interactive ways.
WiMi Hologram Cloud, Inc. will realize the transition of people-things interaction, building content tools, and artificial intelligence integration common system, to create “the actual fusion, the extension of space and time, embodied interaction, comprehensive communication” vision.
WiMi Builds An Immersive System To Realize Cross-Space And Time Virtual Communication.
Source
https://www.newstrail.com/wimi-builds-an-immersive-system-to-realize-cross-space-and-time-virtual-communication/
January 9, 2023
Multi-source information fusion interactive virtual reality technology is an interdisciplinary discipline that integrates bionic technology, electronics, communication technology, and computer technology, which is a frontier topic of great interest. The emergence of various new technologies has also promoted the development of multi-source information fusion interactive virtual reality technology, and a variety of interactive virtual reality technologies that rely on multi-source information integration are emerging.
Virtual reality (VR)
https://en.wikipedia.org/wiki/Virtual_reality
is a simulated experience that employs pose tracking and 3D near-eye displays to give the user an immersive feel of a virtual world. Applications of virtual reality include entertainment (in particular video games), education (such as medical or military training), and business (such as virtual meetings or conference). Other types of VR-style technology include augmented reality and mixed reality, sometimes referred to as extended reality or XR, although definitions are changing due to the nascence of the industry. Currently, standard virtual reality systems use either virtual reality headsets or multi-projected environments to generate realistic images, sounds and other sensations that simulate a user’s physical presence in a virtual environment.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI), the first share of holographic AR, builds a multi-source information fusion and interactive holographic immersive system based on a multi-source information fusion algorithm and holographic technologies. The purpose of multi-source information fusion is to obtain information of higher quality. And multi-source information fusion is a functional simulation of the human brain’s integrated processing of complex problems. The noise and outliers in the input information are eliminated for the redundancy of multi-source details. On the other hand, for the redundancy of multi-source information, valuable information related to practical applications is obtained, and the complete information description is obtained to the maximum extent.
And as a leading-edge technology of the times, holographic technology combines simulation technology with computer graphics, human-machine interface technology, sensing technology, and multimedia technology to build virtual scenes. The fusion of its presented 3D images with the actual physical world is achieved in an almost transparent interface state, so it has a strong sense of reality and presence, which can create subversive experiences, realize virtual cross-time and space interaction, and create real live communication.
In the multi-source information fusion interactive holographic immersion system, holographic technology features are gradually integrated into the user and the application object to increase the user’s emotional input and active participation through an immersive scene experience and to build an immersive, innovative and interactive virtual 3D scene that feels like the real world. The immersive interaction it creates brings the machine-constructed environment infinitely closer to the perceived natural environment, conveying to the user a complete and comprehensive physical and psychological sensation similar to the actual situation.
The multi-source information fusion-based interactive holographic immersive system not only communicates and communicates across the limits of time and space but also creates a technological system that enables the virtual natural environment to act on the human body and generate various sensory and physical responses, realizing perceptual systems such as visual, auditory and tactile immersion and behavioral systems such as orientation, language immersion, and expression system immersion.
The application of WiMi Hologram Cloud’s immersive system, based on multi-source information fusion interactive holographic, can be precisely divided into the individual consumer market and enterprise market. The former one includes experiences such as immersive multimedia and digital games, while the latter one mainly has scenarios such as exhibition, medical, architecture, education, and tourism. Continuously exploring and expanding the commercialization of interactive holographic immersion systems based on multi-source information fusion will be the direction of WiMi Hologram Cloud’s future efforts.
WiMi Develops A 3D Visualization Holographic Interaction System.
Source
https://www.newstrail.com/wimi-develops-a-3d-visualization-holographic-interaction-system/
January 6, 2023
People’s demand for three-dimensional information is increasing daily in the rapidly developing information age. 3D visualization has shortened the gap between the natural world and the computer virtual world, broadened people’s vision so that people can understand the world more clearly, and provided good guidance for transforming the world.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a 3D visualization holographic interactive system based on 3D visualization and holographic technology. The 3D visualization holographic interactive system is an integrated application system that integrates many advanced technologies and means, such as digital twin networks, multimedia integration technology, human-computer interaction, etc. This system will integrate various advanced technologies and standards to provide users with a comprehensive and realistic information display and interaction platform and to build communication between the natural environment and the virtual scene bridge.
WiMi uses 3D visualization technology to create the same type of visual interaction scenes as the accurate model in the virtual environment, aiming to achieve a more intuitive visualization of the actual location so that users can fully understand the scene from different levels and perspectives. And through the digital twin network, the expression of each information system in the real space corresponds to the digital model and the connection between each information system. It forms a complete and dynamically changeable 3D visualization interactive system to interact the data of each method with the site environment so that users can obtain comprehensive and accurate factual information from a real virtual space or model and can dynamically analyze and simulate these data and visualize the data in the digital 3D area, forming a complete real-time data-driven system.
It also provides users with many integrated views using multimedia integration technologies, such as data visualization, network information sharing, historical information query, data storage, etc.
In the digital era, with the increasing popularity of artificial intelligence, human-computer intelligence interaction methods are also upgrading and developing.
From the initial face recognition to the voice assistant, from intelligent services to improve efficiency to multi-scene interaction applications to change human life, artificial intelligence interaction has been applied to smart cars, smart homes, industrial production, government services, finance, education, medical, and many other fields.
In the future, such interaction methods as WiMi’s 3D visualization holographic interaction system may gradually become the mainstream of human-computer intelligent interaction, promoting a more thoughtful and efficient interplay and interaction between the real world and digital virtual.
WiMi Developed an AI Information Management Platform By Data Algorithm Analysis.
Source
https://www.newstrail.com/wimi-developed-an-ai-information-management-platform-by-data-algorithm-analysis/
January 6, 2023
Big data has brought an unprecedented information explosion to the Internet. It has changed the way Internet data is used and has also had a profound impact on human production and life. People living in the age of big data realize that the understanding of big data on data analysis needs to be changed from “backward analysis” to “forward analysis,” which has changed people’s way of thinking. In the age of big data, the generation and collection of data are the foundation, while data mining is the core. In big data, data mining is the most critical and valuable work. Data mining or knowledge discovery generally refers to an engineering and systematic process of mining hidden, previously unknown, but potentially useful information and patterns from a large amount of data.
The existing data mining tools, such as Weka [4], SPSS, SQL Server, etc., provide a friendly interface for user analysis, but these methods are not suitable for large-scale data analysis. When using these tools simultaneously, it is difficult for users to add new algorithm programs. To solve the limitations of existing tools and products in extensive data mining, WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has developed a new platform – an artificial intelligence information management platform based on data mining algorithm analysis, and has obtained software copyright. This user-friendly data mining system supports efficient computing and rapid integration in a distributed environment. The platform supports data analysts in conducting data mining tasks quickly and effectively.
The artificial intelligence information management platform based on data mining algorithm analysis developed by WiMi Hologram Cloud Inc. (NASDAQ: WIMI) uses artificial intelligence, machine learning, and deep learning technologies to extract hidden, previously unknown, and potentially valuable information from massive data.
Its main goal is to remove superset information from many data sources and fuse them to reveal their deep structure and internal relations. Building information in a distributed heterogeneous environment can significantly reduce the complexity of building data analysis tasks caused by different physical environments and fully use the ability of distributed computing to improve the efficiency of data analysis. In addition, the computing resources of the platform can be dynamically increased or decreased, enabling it to adjust the physical computing resources online according to the number of specific analysis tasks. Finally, the friendly user interface provides excellent convenience for building different big data mining applications based on the platform.
The platform of WiMi uses a genetic algorithm, rough set method, decision tree method, and neural network method to divide the general steps of data mining into analyzing the problem: determine whether the source database meets the data mining standard; Extract, clean, and verify the data, remove the noise in the data, and obtain data with complete data and uniform format;
- Create and debug the model:
apply the selected data mining algorithm to the data to create the model and verify and adjust the model through the data to obtain the data model that meets the use requirements;
- Maintenance of data mining model:
With the increase of data volume, the change of some essential information may lead to serious model accuracy, which requires adjustment and maintenance of the model. The accuracy of severe models and model maintenance are critical links to data mining. Model maintenance can maintain the vitality of the model and continuously improve the model.
With the advent of the significant data era, the data accumulated in all walks of life is growing explosively. The demand for data mining in all fields will strengthen, and the combination with various professional areas will become more and more extensive. Whether in science or engineering, theoretical research, or real life, the artificial intelligence information management platform based on data mining algorithm analysis of WiMi will have a comprehensive development prospect.
WiMi’s HCI System Realizes Barrier-Free Communication Between People and Objects.
Source
https://www.newstrail.com/wimis-hci-system-realizes-barrier-free-communication-between-people-and-objects/
January 5, 2022
Interactivity is one of the three characteristics of virtual reality. It refers to users’ interaction, in a portable and natural way, with computer-generated virtual world objects. It is about creating a more natural and harmonious human-computer interaction environment in the two-way perception of the virtual environment. In the intelligent cab consisting of hardware, software, and operation interaction, operation and interaction is the “button” to achieve human-computer interaction, which directly impacts the driver’s experience. In the automotive industry, screen, voice, gestures, and other interactive technologies have matured. Holographic, human-computer interaction and other technologies are constantly being carried out in the innovation of interaction methods.
The human-computer interaction interface is usually the part visible to the user, through which the user communicates with the system and performs operations. [color=greenTo study the communication and communication between humans and the computer through mutual understanding and to accomplish the functions of information management, service, and processing for people to the maximum extent, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) developed the interaction control software based on holographic robotic technology and obtained the software copyright of the invention.[/color]
The system consists of four main steps.
- Data acquisition:
using two (or more) cameras to take pictures of the current environmentand get two (or more) different perspective photos for the same background, and then calculating the depth information according to the geometric principle to acquire human action images.
- Action detection and segmentation:
the parameters of the plural cameras and their relative positions to each other are known, and as long as the positions of the same objects in different pictures are identified, the recognition effect of the thing under test can be calculated by the algorithm and used to detect whether the input image is an action command.
- Action recognition:
algorithmsare applied to form multi-angle three-dimensional imaging, extract action area features and identify their kinds according to specific methods.
- Using recognition results to control people or objects in the holographic virtual environment:
- the recognition results are sent to the virtual environment control system to control the virtual people/entities to achieve specific movements.
WiMi provides a new technical means for human-machine interaction and remote control device applications through observing and manipulating 3D data based on holographic robotic technology. It allows the user to enter the scene constructed by the computer graphics system and interact with the virtual objects. The system can be applied to industry, healthcare, education, autonomous driving, and e-commerce.
In terms of autonomous driving, it can be connected to the diagnostic system and cloud platform on the car, and the vehicle can start various functions according to the user’s gestures and even replace multiple physical or virtual buttons on the vehicle. Users can be freed from the limitations of physical input devices, providing them with a more excellent range of interactions that can be operated with a certain degree of ambiguity. As one of the most natural ways to communicate, only one action command in the car can save energy and effort. Until fully driverless, the correct use of motion command interaction can effectively reduce driver and passenger distraction and form a crucial complementary system to interaction methods such as touch and voice.
For example, the driver can turn the front reading lights on or off when they place their hand under the rear-view mirror, or the sunroof can be opened or closed when the driver swings their arm back and forth in front of the rear-view mirror.
WiMi is now researching key technologies such as human-machine data collection, real-time scene modeling, and 3D display, low-latency secure remote control. WiMi is also developing and integrating key technologies to create interactive control software based on holographic robotics in virtual reality environments that can further enhance the human-machine interaction experience and remote control efficiency, which has great reference value to improve the intelligence of human-machine interaction further.
WiMi Provides Accurate 3-D shape Detection By Digital Holographic Microscope.
Source
https://techbullion.com/wimi-provides-accurate-3-d-shape-detection-by-digital-holographic-microscope/
Janoary4, 2022
With the rapid development of microelectronics and optical communication technology, the applications of microfabrication technology and micro-optical devices are increasingly extensive. The surface error, surface roughness, and other technical indicators of micro-optical devices will significantly impact the performance of micro/nano optical elements and even the entire optical system.
Therefore, the quantitative measurement of the three-dimensional surface of micro/nano elements has become a fundamental technical problem in developing micro-optical elements and micro/nanosystems. With the continuous development of digital computer processing and optical imaging technology, computational optical imaging technology has gradually become the focus of attention in recent years. To solve the problems of phase information acquisition, zero-order image, conjugate image interference, and other problems in optical technology, WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) uses the analysis of coherent optical imaging theory combined with digital holography. The WIMI digital holographic microscope system is developed to solve the above problems. The system will mainly be used in the three-dimensional shape detection of micro/nano components.
In this system, a digital holographic angular spectrum reconstruction algorithm is used to obtain the phase distribution of scratches on the optical component surface. Scanning and splicing techniques are used to detect the entire area. Based on the WIMI digital holographic microscope system device, three-dimensional precision scanning elements are added to measure its surface scratches and splice them into the whole holographic stereo image so that the system can perform complete three-dimensional topography imaging on the detection area of the object.
The charge-coupled device (CCD) is used to replace the traditional holographic recording, and the angle algorithm is used to simulate the optical diffraction process. The numerical simulation is carried out to reproduce the wavefront distribution of the original object’s optical field so that the whole process of holographic recording, storage, transmission, and reconstruction can be digitized, meeting the micro/nano accuracy requirements, and it has the advantages of the whole field of view, non-contact, nondestructive, etc.
WIMI digital holographic microscope system uses holographic principles to produce real-time high-resolution three-dimensional digital images. Holographic images are generated by interference between the reference light and object light and then recorded by the holographic camera and transmitted to a computer for real-time digital reconstruction. This process only takes a few microseconds to collect and reconstruct a holographic image. Then, the special data acquisition and analysis software of the system will analyze the target hologram and generate the following:
- Light intensity map: provide images with the same contrast as traditional microscopes.
- Phase diagram: provide quantitative values, and conduct accurate three-dimensional measurements on the measured object.
Through the reflective digital holography, the phase image reveals the surface light intensity pattern of the object to be measured with sub-nanometer accuracy. In digital transmission holography, the phase diagram shows the phase shift information of the measured transparent sample, and these values provide essential quantitative data, especially for biological samples. This variety of digital holography methods has improved the precision of video and computational microscope images. Still, WiMi Hologram Cloud Inc. (NASDAQ: WIMI) also needs to adjust various optical parameters in the optical microscope, including the optical phase difference, digital image focusing, image tilt adjustment, and eliminating environmental disturbances.
The WIMI digital holographic microscope system provides a whole field of view, a nondestructive and rapid quantitative testing method for the three-dimensional shape detection of micro-optical elements. Later, through further data accuracy analysis and experimental research on various samples, this hope is expected to be used for the early processing, optimization, and subsequent quality evaluation of micro/nano elements.
WiMi Studies Diverse Data Fusion Technology To Assist Scientific Decision Making.
Source
https://www.newstrail.com/wimi-studies-diverse-data-fusion-technology-to-assist-scientific-decision-making/
January 4, 2023
In the era of big data, information explodes, and data sources are more and more extensive; data also has multidimensional characteristics, which is mainly reflected in the diversity of data attributes, that is, data extracted from the same object from different perspectives, such as
- content theme dimension,
- type dimension,
- structure dimension,
- time dimension, and
- space dimension.
When processing massive and complex data, it is difficult for users to dig out valuable information. On the other hand, single-source and single-dimensional data is challenging to meet the needs of auxiliary scientific decision-making. Furthermore, the demand for multi-source and multidimensional data fusion technology is increasingly urgent. At the same time, the development of emerging technologies such as the Internet of Things, cloud computing, and artificial intelligence not only improves the ability of data acquisition and analysis, and processing, promotes the development of data fusion, but also increases the research heat of data fusion.
It is understood that the WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) research and development team is developing multi-source and multidimensional data fusion technology research. Multi-source and multidimensional data fusion combines the data of multiple sources. It uses computers for data processing to obtain valuable, comprehensive information that cannot be accepted by a single or single-class information source. According to the purpose and level of data fusion, it selects the appropriate data fusion structure and algorithm, extracts, cleans, and classifies the data of different sources and different dimensions of the described object, extracts the data features, and combines them, to obtain more accurate and complete information. Multi-source data and multidimensional data are both processing objects of data fusion. Multi-source data is divided according to the source of data, and the division standard of multifaceted information is the attribute of data. It uses multi-source and multidimensional data fusion technology to capture better and analyze data, explore the credibility of multi-source data, and provide valuable information for scientific decision-making.
WiMi conducts multi-level and multifaceted processing of the collection, combination, analysis, processing, and estimation of multi-source data. Its multi-source and multidimensional data fusion technology is divided into data preprocessing and data fusion.
According to Markets, the size of the global multidimensional data market in the artificial scientific market will grow from $5.1 billion in 2019 to $16.2 billion in 2024. Data preprocessing mainly includes data extraction, cleaning, sorting, etc. Data fusion is primarily on selecting appropriate data fusion algorithms according to the different purposes of data fusion and the level and level of data fusion. Multi-source and multidimensional data fusion includes research and understanding of the obtained data, transformation and establishment of data structure, multidimensional data association combination, and establishment of analysis data sets, etc.
In recent years, with the development of technology, image recognition technology has set off a new revolution globally. The multi-source and multidimensional data fusion technology studied by WiMi has a wide range of applications. It is currently mainly used in image recognition, 3-D modeling, target detection, smart city, robot, and other fields.
With the continuous improvement of computer level and the continuous improvement of data fusion algorithm, the degree of universality of data fusion theory is constantly promoted. In this era of big data of information explosion, data has become a strategic asset. Wherever there is information and data, there is a need for data fusion. Under the promotion of the national informatization development strategy in the new era, the digital construction of the smart city, smart transportation, intelligent manufacturing, and other fields is also being steadily promoted, and the digital building in these fields will put forward higher requirements for data fusion processing. The multi-source and multidimensional data fusion technology studied by WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) will be practically applied in more industries and create higher social and economic benefits.
WiMi Designs Holographic AI Image Recognition-Based Obstacle Edge Detection Software.
Source
https://www.newstrail.com/wimi-designs-holographic-ai-image-recognition-based-obstacle-edge-detection-software/
December 4, 2022
As a large-capacity, high-density public transportation, the safety of urban rail transit is directly related to the safety of passengers’ lives. To ensure this system’s safe and efficient operation, a safe and reliable operation control system is necessary. Driverless rail transit is a transportation mode that can achieve full automation without driver intervention. With the progress of science and technology, unmanned and automated has become the development trend in the field of transportation, and the application of unmanned technology in China’s railroad construction is becoming more and more extensive. In the automatic traveling urban rail transit, the automated obstacle detection system is an essential function of the intelligent train, which can replace the driver’s observation of the obstacles on the track. Once the invasion of foreign objects is found, the control center and the driver can be notified in real-time, and the abnormal type and distance can be detected simultaneously to improve the safety and reliability of operation and reduce the operation and maintenance costs.
Active obstacle detection system uses a different technology than traditional train control systems. It applies the environmental perception technology of the automotive field. The sensors used are chosen to be consistent with the LIDAR, millimeter-wave radar, and camera used in automotive autonomous driving. And the machine learning algorithm used in automotive autonomous driving is used in the perception algorithm for target detection and classification. Multi-sensor fusion technology of the automotive field is also applied in the system.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) R&D team developed unmanned rail vehicle obstacle edge detection software based on holographic image recognition technology, which is used to improve the recognition efficiency of track obstacle detection.WiMi’s R&D team added artificial intelligence deep learning technology to the obstacle detection software. Using a combination of long-distance track and near-distance obstacles helps increase the dataset of artificial intelligence image recognition technology for improving the detection function of long-distance objects of unmanned rail vehicle obstacle detection system and realizes the part of a more intelligent automatic judgment of obstacles and distance in actual operation.
Detecting tracks at long distances is more complicated than short-range detection:
the complex shape of the tracks hinders the pre-calculated track model, and the resolution is so low that it is difficult to distinguish the track edges from the structures of neighboring objects. WiMi’s R&D team uses an iterative analysis algorithm to expand the image detection sensor’s distance gradually. The position is calculated by iteration, which is used as the new position of the next target, and the further distance target is constantly obtained. The results obtained from a small range are used as the starting point for the next partition. In each iteration, the detected trajectory is projected onto a new sub-region, and then the corresponding matching ratio score is calculated based on the change of that sub-region.
In the future, WiMi’s R&D team will also optimize the unmanned track obstacle recognition system in several aspects. This would include optimizing the long-tail distribution of the dataset, enhancing the generalization capability of the dataset, adding more detection scenarios and obstacle types, optimizing the small target detection problem, and using cross-domain datasets to verify the generalization performance of the model, adopting multimodal detection methods, designing rail transit obstacle detection models based on computer vision, LIDAR, millimeter-wave radar and other multi-sensor fusion technologies, etc. With the development of driverless technology, new rail transportation methods will directly affect our future travel and bring more convenient new means of transportation for people’s life.
WiMi Creates Intelligent Production Line With The Layout Of The Holographic Sensors.
Source
https://www.newstrail.com/wimi-creates-intelligent-production-line-with-the-layout-of-the-holographic-sensors/
January 3, 2023
With the rapid development of global digital technology, a series of high and new technologies of XR (Extended reality) technology, Internet of Things (IoT) technology, geographical location and sensors, artificial intelligence machine learning (AI / ML), and advanced network (5G / 6G) are accelerating the era of cross-border integration of global information technology. The intelligent sensor is an important means of interaction between robots and mechanical equipment and the natural environment and is also the primary source of digital information for robots and mechanical equipment. It is one of the cores and foundations for the future development of the digital information technology industry. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) also focuses on the layout of holographic six-dimensional sensors in intelligent sensors.
Sensor technologies have experienced many years of development and can generally be divided into three generations.
- The first generation is a structural sensor using the change of structural parameter numbers into a signal.
- The second generation is the solid sensor composed of magnetic materials, dielectric, semiconductors, and other solid components.
- The third generation of sensors are intelligent sensors; intelligent sensor application fields mainly include consumer electronics, smart robots, automotive/industrial manufacturing, medical equipment, and many other areas.
WiMi Hologram Cloud’s holographic six-dimensional sensor can accurately measure the 3D orthogonal force and 3D orthogonal moment in any spatial direction:
- Fx,
- Fy,
- Fz,
- Mx,
- My, and
- Mz.
It is the highest dimensional force perception sensor at present. The rich force measurement information and high measurement accuracy can provide feedback and comprehensive force perception information.
WiMi’s Six-dimensional sensor can make industrial equipment or robots obtain precise “tactile” perception, provide substantial assistance for industrial automation products, and be applied in intelligent manufacturing and intelligent robot assembly scenarios. It can solve the problems of collision detection, flexible dragging, precision control, and intelligent collaboration and is the core component of realizing the adjustable force control of industrial robots.
For example, deploying holographic six-dimensional sensors in intelligent manufacturing can enhance the joint’s flexibility. The internal algorithm of holographic six-dimensional sensors will decouple the interference between forces and moments in various directions, making the force measurement more accurate. Not only can the force be accurately measured, but also after obtaining the torque information, user can also use the torque information to calculate the attitude of the stressed parts and detect whether the torque is within the safe range. The holographic six-dimensional sensor is installed on the end of the manipulator. Appropriate force and travel are given for handling and installation in the manipulator handling.
In the anti-collision warning, the power is cut off through the advanced feedback of holographic laser LiDAR and industrial camera to avoid damage to people and equipment. For example, if people want to hold an irregular screw with hands, the brain will instruct them how to get it at the best and most comfortable route and angle and calculate how much force to get it. When the hand touches the screw, people will feel feedback and pick it up with appropriate strength to avoid damage. The holographic six-dimensional sensor is the tactile nerve of the robot. The combination of holographic six-dimensional sensors, industrial intelligence, and holographic laser LiDAR can be applied to robots’ intelligent, flexible assembly operation.
In addition, it is worth mentioning that WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has been committed to the research, development, application, and development of holographic technology and has accumulated holographic digital technology for many years. It is the technology leader in China’s holographic industry, has obtained more than 1000 holographic-related patents, and deeply combines holographic technology with various industries. The holographic six-dimensional sensor can be combined with artificial intelligence, holographic laser LiDAR, and industrial camera. The high dimensional sensor and machine vision and precision force control technology realize the movement path planning and control, precision precision precision environment, with high stability, continuous operation ability, and ability to adapt to the environment. It can be applied in force control precision assembly, force control precision grinding, crash testing, rehabilitation robot, humanoid robot, and other industries.
WiMi develops Load Balancing Algorithm-Based 5G Remote Robotic IoT Control System.
Source
https://www.newstrail.com/wimi-develops-load-balancing-algorithm-based-5g-remote-robotic-iot-control-system/
January 3, 2023
The new generation of rapid development of information technologies such as artificial intelligence, the Internet of Things, big data, intelligent robots and artificial intelligence, advanced manufacturing, mobile networks, and other technologies is driving the revolution in production and lifestyle. From smart homes and smart security to smart agriculture and industrial IoT, IoT has penetrated every aspect of life, bringing significant changes to people’s work and life. The demand for IoT control system is also getting higher and higher, and IOT control system has the characteristics of diversification, openness, extensiveness, and intelligence.
Combining with user needs, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a 5G remote robotic IoT control system based on a load balancing algorithm, which realizes comprehensive intelligent management and real-time monitoring of remote robots. The 5G remote robot networking control system is expected to achieve the control goal by collecting, transmitting, analyzing, and sending control commands to the items’ data and implementing remote monitoring and management of the equipment. 5G remote robot networking control system features strong security, easy installation and operation, high stability, diverse management, real-time, low cost, high compatibility, and low power consumption.
WiMi’s R&D team uses a double-level structure in the IoT control system:
- the low-level network controller controls the gateway and a programmable logic controller (PLC);
- the high-level controller is a cloud-based platform. Most of the information processing tasks and user service requests in the system are made by the cloud, and the controller functions are then mainly realized by the high-level controller, while the low-level controller can be weakened as a gateway. When most of the system’s information processing tasks and user service requests are made by the low-level controller, the cloud platform where the high-level controller is located can be weakened into a database management platform. When the control strategy is complex, the relatively independent control strategy can be implemented by the low-level controller, while the high-level controller does the system-level strategy or the coordination between the low-level controllers.
From local closed-loop control to network control during the development of 5G remote machine character IoT control system, time delay, bandwidth, and throughput are essential factors affecting its performance. Time delay parameters are particularly prominent, especially in the IoT environment. Sensors are the bottom layer of IoT, distributed in various fields, and the collected data are very complex. If a massive amount of information is transmitted to each application layer through the network, it will cause overload to the network layer, thus increasing the network latency; in addition, how the control signals sent to the actuators are delivered quickly and timely through the network also puts requirements on the latency index. Therefore, designing network control algorithms to effectively compensate for the network delay and ensure the stability and robustness of the whole control system has been a hot issue for research.
WiMi R&D team applies a load-balancing algorithm to the remote robotic networking control system, which evenly distributes requests sent from outside to multiple operating units (servers, middleware) in a symmetric structure through some load-sharing technique. In contrast, the operating unit receiving the proposal responds to the request independently. Load balancing can evenly distribute requests to the array of operating units, thereby providing fast access to essential data, solving the problem of a large number of concurrent access services, and solving the issues of high performance, single point of failure (high availability), and scalability (horizontal scaling).
Load-balancing algorithms have high concurrency, scalability, high availability, and security.
High concurrency:
Load balancing improves an application cluster’s concurrent processing capability (throughput) by algorithmically adjusting the load and distributing the workload of each node in the application cluster as evenly as possible.
Scalability:
Adding or reducing the number of servers is controlled by load balancing for distribution. This allows the application cluster to be scalable.
High availability:
The load balancer monitors candidate servers and automatically skips when a server is unavailable, distributing requests to available servers. This makes the application cluster highly available.
Security protection:
Load balancing software or hardware provides security features, such as denylist and safelist processing, firewall, anti-DDos attack, etc.
The load balancing algorithm-based 5G remote robotic IoT control system developed by WiMi optimizes and improves the IoT control system from the network level and control theory level to improve the control efficiency of remote devices and save a lot of manpower and material resources for users. With the development of IoT technology and the continuous improvement of control theory, the system will be applied to a broader range of fields, such as smart homes, smart security, smart agriculture, industrial IoT, etc. Intelligence, security, real-time, and low energy consumption are the goals and focuses pursued by future IoT control systems.
WIMI Stock May Bull In 2023, What’s Going On At WiMi Hologram Cloud?
Source
https://www.newstrail.com/wimi-stock-may-bull-in-2023-whats-going-on-at-wimi-hologram-cloud/
December 30, 2022
With the intensive release of a number of new products, VR / AR (virtual reality / augmented reality) is ushering in a new round of development boom, and China’s local VR / AR industry chain has accelerated its maturity.
VR and AR began to develop in around 2016, but due to the maturity of technological development, the primary immersion stage has a limited appeal and has been tepid for the past few years. Since the outbreak, homework and entertainment have promoted the digitalization of offline scenes, and demand has driven the start of the VR / AR track. And Metaverse’s popularity has added to a fire. VR has already started to face C-end consumers, and related products have also begun to be sold frequently.
What is a VR / AR?
Virtual Reality, abbreviated as VR, also known as virtual reality or spirit environment technology, is a brand new practical technology developed in the 20th century. Virtual reality technology includes a computer, electronic information, and simulation technology, its basic implementation is mainly computer technology, using an integrated 3 d graphics technology, multimedia technology, simulation technology, display technology, servo technology, and other latest development of high-tech, with the help of computers and other equipment to produce a realistic 3 d vision, touch, smell and other sensory experience of the virtual world, so that people in the virtual world have a kind of immersive feeling.
With the continuous development of social productivity and science and technology, the demand for VR technology from all walks of life is increasingly strong. VR technology has also made great progress, and it has gradually become a new field of science and technology.
Augmented Reality, AR, is a kind of virtual information and the real world clever fusion technology, widely used multimedia, 3 d modeling, real-time tracking and registration, intelligent interaction, sensing, computer-generated text, images, 3 d model, music, video, and other virtual information simulation, applied to the real world, the two kinds of information complementary, so as to realize the “enhancement” of the real world.
Metaverse makes VR/AR more popular
In essence, Metaverse is the collection of virtual space, consisting of a series of AR, VR, and Internet, namely through the technical ability in the real world to build a parallel and persistent virtual world, real people in the form of the digital body into the virtual space life, at the same time in the virtual world also has a complete operation of the social and economic system.
In this context, Metaverse contains important investment opportunities and thus becomes a new focus of capital. Climbing the “Metaverse hot” with fire VR / AR industry. In terms of investment and financing, in the past few months, the financing amount of the VR / AR industry has more than tripled from the previous month, with 22 global financing transactions of the VR / AR industry being completed, with the total amount rising to us $1.848.82 million. At the same time, “Metaverse Heat” directly hits the VR / AR content market.
According to the news, after the battle for hardware entry, the head companies also targeted Metaverse’s new match point —— VR / AR content. Compared with hardware and software, content is more suitable for a breakthrough for big manufacturers.
There are three main reasons as follows:
- 1) The overall investment in VR / AR content production is not high, the cost advantage is obvious, and the profit margin is very large. VR / AR content can use the same scripts, parameters, and formats in mobile phones, computers, TV, and other terminal content, with high portability.
- 2) Content is the core selling point of the Metaverse industry. It directly meets the needs of consumers and has a very high added value. It can lay the foundation for the development of the software and hardware that dominate Metaverse.
- 3) Dachang has a certain international competitiveness in the VR / AR hardware dimension, but there is still great room for improvement in the content ecology. To get consumers to pay for VR / AR hardware, we need to constantly enrich the content ecosystem, and “killer” apps and the content will automatically drain VR / AR hardware.
WiMi HologramCloud boosts VR / AR to expand the content market
Data show that the “Metaverse Holographic AR first stock” —WiMi Hologram Cloud (NASDAQ: WIMI) actively carries out the Metaverse layout, in terms of software technology, based on imaging detection and recognition technology, the holographic AR content can be embedded into virtual applications. As a VR / AR manufacturer, it has become a recognized leading enterprise in VR / AR track based on its VR / AR patent layout, years of perceptual interaction, spatial computing, optics, simulation and simulation vertical integration capabilities, and rich experience in V R / A R track.
The positive cycle of VR / AR devices and content has gradually formed, and the platform application types will be steadily diversified in the future. According to the China Institute of Commerce and Industry forecast, the national AR / VR content and service market size will reach 35.01 billion yuan in 2022. WiMi Hologram Cloud has also begun to target the new point of Metaverse matching AR / VR content, toward the hardware + content + ecology development path. It is expected to accelerate the development of the consumer AR / VR market.
At present, with the popularity of the 5G network, the progress of UHD shooting equipment, the popularization of cloud shooting and cloud rendering, and the expansion of the AR / VR consumer market… many conditions mature, for WiMi Hologram Cloud UHD video content to enter the AR / VR ecological construction has cleared the obstacles. Entering the AR / VR content market, WiMi Hologram Cloud has developed 5,000 holographic virtual IP equity content.
In addition, with the introduction of 5G, the evolution of shooting equipment, and the standardization of the production and broadcasting process, the company 5G + VR can complete 4K or even 8K UHD live, and “AR + 8K” content application on the consumer application market, through the content to pull the viscosity of AR / VR products, get more data and user feedback, to improve the technology. Today, the hardware, software, and bandwidth environments have been greatly improved, and the WiMi Hologram Cloud 8K UHD will be widely used in the AR / VR content space.
To Sum Up
It is worth mentioning that after the war of hardware entry, domestic and overseas manufacturers also began to target the MetaverseAR / VR content field. Apple has hired several Hollywood directors to develop video content for its upcoming headset, Meta has teamed up with the Tribeca Film Festival to show 20 short films, and Tencent QQ Music has released VR albums by musicians like Jay Chou, Zhang Huang, and Wang Yuan…
Rich AR / VR content is an important factor in AR / VR hardware consumption. Whoever has more wonderful content is likely to get more hardware users and master the Metaverse entry traffic. Whether Meta, Apple, Google, WiMi Hologram Cloud, Amazon, etc., it is foreseeable that the entire VR / AR industry will return to the public view in 2023 after a dormant period of the past few years. In the Metaverse wind blowing “hot”, the real AR / VR war is coming.
WiMi Develops Convolutional Neural Network-based Image Enhancement Algorithm.
Source
https://www.newstrail.com/wimi-develops-convolutional-neural-network-based-image-enhancement-algorithm/
December 28, 2022
With the continuous progress of digital image imaging device technology, the number of images acquired through cameras, cell phones, video surveillance, etc., has shown an exponential growth trend, and images have become an essential means for people to perceive the world and exchange information with the outside world. Everything the human eye sees can be translated into the form of images. In the process of image acquisition, generation, compression, storage, and transformation, the complex imaging factors in reality (such as noise, low light, camera shake, object motion, etc.) will lead to degradation of image quality (such as noise, blur, distortion, etc.) and reduce the visual perception quality of images. In this context, the recovery and image enhancement of low-quality images have become a hot research topic in academia and enterprises.
Image enhancement is achieved mainly through contrast stretching, preservation, and high restoration of image details.
- Firstly, for the whole image, the contrast between the image part and the whole should be improved, and the parties should not be neglected;
- secondly, the signal-to-noise ratio of the image should be improved to suppress the generation of noise and improve the quality of the photo to make it conform to the visual characteristics of human eyes.
At present, image enhancement is one of the popular directions in the field of digital image processing, and the image enhancement algorithm is mainly a series of processing of the image captured by the imaging device to enhance the overall effect of the image or local details, and various image enhancement algorithms are emerging.
It is understood that the R&D team of WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is studying image enhancement algorithms based on convolutional neural networks. Convolutional neural networks have outstanding achievements in many fields, such as computer vision and natural language processing. Applying convolutional neural networks to image enhancement has obvious advantages and can solve the challenges of image enhancement in different environments.
The essence of the convolutional neural network is to map the input image to a new mathematical model by multiple data transformations or dimensionality reduction. Convolutional neural networks mainly consist of:
- an input layer,
- a convolutional layer,
- a pooling layer,
- a fully connected layer, and
- an output layer.
- The convolution layer performs the convolution operation on the input image or the output features of the previous layer, calculates the inner product of the whole convolution kernel and the corresponding position of the input image or feature map, and extracts the relevant image feature map.
- The role of the pooling layer includes dimensionality reduction of the activation feature map, reducing the number of parameters and computation in the network, maintaining the feature scale invariance property, and reducing overfitting to a certain extent. The pooling layer can downsample the image using the basis related to the image part to reduce the amount of computational data and leave valid information values.
After multiple convolutional pooling operations on the image, the convolutional neural network classifies the features through the fully-connected layer by using the one-dimensional activation feature vector obtained after expanding the three-dimensional activation feature map as the input to the fully-connected layer.
WiMi’s convolutional neural network-based image enhancement algorithm has substantial advantages in extracting image feature information and feature representation. The convolutional neural network can share weights and perform convolutional computation, has strong feature learning capability and mapping capability, ensures the suppression of noise and image detail protection, and has high invariance in image displacement, scaling, and other deformation. It also suppresses noise and image detail protection and has high invariance during image shifts, climbing, and other deformations, showing better-reconstructed image quality.
Convolutional neural networks can learn complex hierarchical features of images and perform complex image recognition tasks. At the same time, the feature extraction based on the convolutional neural network can understand the deep semantic feature information of the image, which can well capture the contextual content of the image, repeatedly train and learn the input image, and finally obtain the best image enhancement effect to meet the requirements of a human vision system for the idea.
Image enhancement algorithms based on convolutional neural networks have broad applications in security, medicine, ecological environment, and other fields. With the rapid development of global information technology, the understanding of the world is increasingly dependent on the explosive transmission of information. The primary way for most people to know the world is still the visibility of the eyes; therefore, image is not only a carrier of human visual information but also an essential medium for spreading information. People’s requirements for image quality are increasing to obtain adequate information in images quickly, the demand for image enhancement will also grow, and the application field of image enhancement technology will be further expanded.
In the future, WiMi’s convolutional neural network-based image enhancement algorithm technology will strive for better progress and more significant breakthroughs in visual effects, contrast ratio, signal-to-noise ratio, etc., laying a solid technical foundation for its more important role in more industries.
WiMi Develops a Holographic Digital Cloud Platform Based on 3-D Cloud Technology.
Source
https://www.newstrail.com/wimi-develops-a-holographic-digital-cloud-platform-based-on-3-d-cloud-technology/
December 27, 2022
The three-dimensional point cloud is a massive collection of points expressing the target spatial distribution and the spectroscopy of the target surface under the same spatial reference frame. It is a geometric description of the model composed of a series of spatial sampling points on the surface of the object model, and it is also a general manifestation of three-dimensional laser scanning data.3-D point cloud data contains rich attribute information such as spatial coordinates and colors. Compared with the traditional conventional measurement technology, the measurement technology based on the 3-dimensional point cloud (3D Point Cloud) has fast speed, strong penetration, non-contact, fully digital, high precision, and high density.
WiMi Hologram Cloud(NASDAQ: WIMI) is building a holographic digital twin cloud platform based on three-dimensional point cloud technology to reconstruct the people, objects, and fields of the physical world in the Metaverse. Compared with traditional three-dimensional models, three-dimensional point cloud technology is not constrained by manual modeling of the surface equations and surface continuity and can restore any complex solid geometry with high precision and convenience, presenting finer details and sharper edges.
Compared to two-dimensional images, three-dimensional point cloud data has one-dimensional (depth) information, and the background. Based on the more multi-dimensional rich data provided by point cloud, the integration of intelligent technology for mining and understanding can help technicians to more keenly capture the real and subtle changes of people, objects, and scenes, extract key data, learn the internal knowledge logically, and realize the perception and understanding of complex scenes. Based on 3-D point cloud reconstruction, a highly realistic 3-D model can be quickly constructed directly through the discrete points on the surface of the object or space scene, which greatly reduces the creation threshold of 3-D content and improves the accuracy and speed of modeling.
3-D point cloud technology usually encounters problems such as point cloud sparsity, disorder, and geometric transformation, and the deep learning of 3-D point cloud also faces major challenges such as small data set size, high dimensionality, and unstructured 3-D point cloud. The R & D team of WiMi Hologram Cloud has also done a lot of research work in this regard, including the 3 D shape classification of 3 D point cloud processing, 3 D object detection and tracking, 3 D point cloud segmentation, 3 D point cloud registration, degree of freedom pose estimation and 3 D reconstruction and so on.
3-D point clouds retain the original geometric information in 3-D space and do not discretize. Therefore, it is the preferred representation for many scenarios (such as autonomous driving and robotics). The 3 d point cloud technology has advantages that conventional measurement technology does not have. From space to the surface of the earth, from global mapping to urban planning, from scientific research to public services, from object modeling to building structure reconstruction, three-dimensional point cloud technology has shone in many significant projects and important fields. With the added three-dimensional point cloud technology, the holographic digital twin cloud platform from WiMi Hologram Cloud (NASDAQ: WIMI) will be able to provide services for users in more fields.
In the future, with the rapid development of hardware and software technologies such as space sensors, the accuracy, and convenience of point cloud data will be continuously improved, and the efficiency of copying the real world will also be greatly improved. This will also lead to more practical innovative applications and cases. With the support of the Internet of Things, digital twin, AI, and other technologies, 3 D point cloud will be the key underlying technology created by Metaverse, which will gradually promote the evolution of the Internet form to the virtual space parallel to the real world, and finally create a new era.
WiMi developed the face detection and database comparison recognition system.
Source
https://www.newstrail.com/wimi-developed-the-face-detection-and-database-comparison-recognition-system/
December 23, 2022
With the development of artificial intelligence technology, face recognition technology has been more and more widely used in various fields. The advantage of face recognition is that each person’s face information can be accurately retrieved and recognized, and the purpose of crime prevention and personal identity confirmation can be achieved through the comparison of identity information. In the security industry, holographic face recognition system can be used not only for monitoring and prevention measures and anti-theft alarm systems in densely populated places such as airports, stations, hospitals, but also for fraud prevention and security monitoring in the commercial field. According to the data of Markets and Markets, the global face recognition market will be 3.8 billion dollars in 2020, expected to grow to 4.5 billion dollars in 2021, 8.5 billion dollars in 2025, and CAGR is about 17%.
Now, more and more face recognition functions have been added to holographic VR/AR applications. For this reason, WiMi Hologram Cloud (NASDAQ:WIMI) has developed a holographic intelligent face detection and database comparison recognition system. WIMI realizes human identification and identity authentication through the distribution of facial feature points in the image by with intelligent face detection.
- Image processing technology is used to extract and analyze the features related to personal characteristics, and convert them into digital forms.
- The computer is used for identification processing to complete the process of identity authentication or personal verification.
- The camera is used to collect facial information, and feature extraction and comparison are performed after preprocessing, transcoding, 3D registration and reconstruction, face detection, region segmentation, and face tracking by filtering, RGB/RGB technology.
In order to provide the accuracy of detection information and recognition efficiency, WIMI R&D team independently developed face detection algorithm, which realized real-time detection of facial features, and used real-time dynamic data enhancement technology to reduce false detection. This method improves the speed and accuracy of face recognition. WIMI holographic intelligent face detection and comparison system can be applied to a variety of complex scenes. According to its characteristics in complex environments, we have developed face quality assessment, pose assessment, backlight detection and other technologies, and put forward a new method based on face priority. In terms of facial attributes, WIMI’s holographic intelligent face detection and comparison system adopts the method of association of multiple attributes.
The attributes with high correlation are used for sharing network characteristics, while the mutual exclusion is used for feature decoupling. Through repeated iteration, the algorithm can predict a single model and multiple facial features online and in real time. The holographic intelligent face detection and comparison system adopts a non matching dynamic scene recognition algorithm based on depth learning. This algorithm realizes accurate recognition by simplifying the network, and combines WIMI’s self-developed facial posture and face correction technology to filter and reconstruct the side and part of the face that are not obvious in complex scenes, so as to solve the problem of face occlusion.
With the continuous development of artificial intelligence and big data, face information has increasingly become an important part of personal information. The holographic intelligent face detection and comparison system ensures the information security of users through data desensitization, private computing and decentralized storage. Under the condition of obtaining the full authorization of the user, the facial features of the user are identified, and the label technology is used to identify them, and the non reversible password technology is used to encrypt them, thus ensuring the security of data transmission and storage, and effectively protecting the facial features of the user.
By using the trusted Execution Environment (TEE), Secure Multiparty Computing (MPC) and other privacy computing technologies, without collecting and sharing the original data, we have realized the security processing of the facial features, and only conducted desensitized Computing on the outside, ensuring that there will be no leakage in the use, processing and circulation, It effectively solves the contradiction between data confidentiality and efficient processing and circulation. The method of security isolation and decentralized storage is adopted to realize differential privacy, ensure that attackers can not infer other information from some data, and reduce the privacy leakage caused by centralized storage of sensitive information.
The development of WIMI’s holographic face recognition technology will be widely used in public security, social management and other aspects. WiMi Hologram Cloud (NASDAQ:WIMI) will also provide large-scale face recognition comparison service solutions on its holographic cloud platform to make intelligent life safer and better.
Web3.0 Holographic Space Internet Changes The World.
Source
https://www.newstrail.com/wimi-hologram-cloud%EF%BC%9Aweb3-0-holographic-space-internet-changes-the-world/
December 23, 2022
The era of Web 3.0 has opened. Although we cannot judge when it will mature, it is changing every aspect of our lives little by little. The boundary between the virtual digital world and the real physical world will become more and more blurred in the future. This trend has been emerging, just as the early functions of Internet technology gave birth to Web 1.0 and Web 2.0. Now some new and high-tech technologies, such as XR (Extended Reality) technology, Internet of Things (IoT) technology, geographic positioning and sensors, blockchain and artificial intelligence machine learning (AI/ML) and advanced network (5G/6G), are promoting the evolution of holographic space Internet.
WiMi Hologram Cloud, Inc.(NASDAQ: WIMI) has carried out technical layout in these technical fields, including hardware and a large number of software technologies. The integration of these high and new technologies will be the characteristics of holographic space Internet technology, and also the technical basis of Web3.0. Of course, technological innovation always includes three basic levels of IT architecture interaction, algorithm and information, which are also the basic elements of Internet technology development iteration.
Interactive, AR/VR devices may change the use mode of people’s access to the Internet, and will become the entrance for people to access the holographic space Internet in the future. Its form may change from AR glasses and handles to digital contact lenses and wearable tactile devices, which requires the development of hardware equipment to make the AR interface more economical and comfortable and can be worn for a long time.
Algorithm is the basic support of computer Internet technology. It enables computers to understand the non digital world. Holographic space networks also have higher requirements for algorithms. AI/ML technology plays an important role in technology iteration. AI/ML plays a key role in the realization of Web3.0 holographic space Internet through self programming and continuous learning of AI, which can perform personalized situational experience and requires efficient data processing capabilities. Now, through edge computing distributed cloud deployment, the delay is reduced by shortening the distance between cloud processors and connected devices. Advanced networks such as 5G/6G also greatly improve the efficiency of data transmission and delay. With the deployment of more efficient algorithm examples, it will be possible to build various technologies from machine vision to 3D digital holography, and build Web3.0 holographic space Internet holographic cloud technology.
Information, with the continuous enrichment of various devices and user data, our data sources and types are also increasing. User privacy, ownership confirmation, etc., including our social activities, financial activities, entertainment and work, are deepening the connection with the Internet. Then the security of information will be more important than ever. Decentralized distributed ledgers will ensure the integrity and security of data information. We hope to realize an open ecosystem on information. Users do not want to be limited by the platform. This is a decentralized data information system that everyone hopes. Web3.0 holographic space Internet will realize a real open ecosystem based on blockchain technology.
Interaction, algorithm and information are the basic elements of our computer Internet. We can see that the patents and investment of Internet applications based on Web3.0 holographic space have increased significantly in recent years. WiMi Hologram Cloud has been based on the development of holographic space Internet technology. At present, it has obtained more than 600 software patents, including 410 software patents related to holographic space Internet technology, These technologies are not necessarily exclusive technologies of Web3.0 holographic space Internet, but each innovation contributes to the final realization of Web3.0 holographic space Internet.
WiMi Hologram Cloud(NASDAQ:WIMI) has also participated in the strategic investment and layout in this field while developing the basic technology of holographic space Internet, which has driven the development of industrial technology application enterprises. For example, Simai Cloud Technology invested by WiMi Hologram Cloud focuses on XR professional online courses, which have been applied to the fields of electric power, automobile and financial industries. The immersive and interactive learning method strengthens the students’ concentration and improves the transformation and absorption of learning content. The AR UAV teaching just launched by Simayun has greatly improved the learning environment of students. Virtual UAVs projected through AR glasses in real space can have more practical experience and practice time than before. Before students graduate, they can have more mature control technology than before. This system has been signed by several UAV training schools. Only two months after the system was launched, more than 1000 students have been trained and graduated.
In addition, cloud sail virtual reality technology invested by WiMi Hologram Cloud, which focuses on digital twin technology, is committed to providing high-quality digital visualization, industrial intelligence and three-dimensional space Internet operation platform for enterprises, manufacturers, self-employed people, etc. through AR/VR technology. The project applications range from real estate, industrial parks and smart cities to the recently launched PaaS3D application (Visual Customize Product 3D/AR), which has been launched on Shopify.
At present, it is the top three application of 3D/AR/holographic visual customization products in the global overall usage. At present, more than 100 enterprises have cooperated with it to build their own space Internet sales platform, and three-dimensional holographic physical products into digital space through PaaS3D application. For example, the furniture industry virtually digitizes the physical furniture on the Internet. Users can project the virtual furniture to the real space through AR glasses, or mobile phone/tablet computer cameras to pre judge the effect after purchase, and can also choose different colors and materials. This greatly improves user satisfaction, reduces the return rate, and makes the enterprise’s online mall run more efficiently.
There is also Avatar Rehabilitation Technology led by Dr. WiMi Hologram Cloud, whose rehabilitation mall is an intelligent rehabilitation platform integrating assessment and intervention based on AI algorithm+XR (VR/MR/AR technology for human-computer interaction)+loT Internet of Things technology. The rehabilitation platform has started clinical treatment trials in some hospitals and rehabilitation centers such as Southern Medical University. At present, the company has two research and development centers and a clinical laboratory.
WIMI Hologram Cloud, Inc. (NASDAQ: WiMi) We are very clear that Web3.0 is now beginning, but it has not really arrived. With the development of technology and the interaction of IT architecture, the technology iteration of three basic levels of algorithm and information, the applications of various industries are gradually integrated into the holographic space Internet, creating a more realistic and efficient Internet collaboration system.
WiMi Develops AI-Based Chip Automated Filling System to Boost Production.
Source
https://www.newstrail.com/wimi-develops-ai-based-chip-automated-filling-system-to-boost-production/
December 20, 2022
Chip design is the key and the most challenging part of chip production.
The process includes:
- selecting the appropriate materials and structures,
- determining the proper design methods and flow, and
- designing systems with specific functional and performance requirements.
In the process of physical chip design, after completing timing and functional convergence, it enters the DFM stage, when the layout, whether it is the density of the metal or the width of the graph, is not uniform; since the flatness of the wafer surface cannot be guaranteed, the redundant filling must be used to improve the flatness of the chip. A redundant fill is a layout structure that does not affect the logic function of the chip. A redundant filling helps to improve the consistency of interconnect pattern density and is a crucial method to optimize the CMP process.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) developed an artificial intelligence-based chip design redundancy automated fill system. Chip design redundancy filling usually uses rule-based and pane-based redundancy filling methods.
The rule-based redundant metal filling algorithm performs a redundant metal filling using two or more steps. Better image gradients are achieved by filling redundant shapes with larger sizes and buffer distances and serving smaller ones. The use of multi-step filling and the introduction of redundant graphics with smaller sizes and buffer distances lead to further improvements in the overall image density.
The redundant metal filling method based on the window format results in better graphic density and graphic gradients. The technique uses a specific algorithm to fill the redundant metals according to the surroundings of the design layout. First, the whole chip is divided into individual panes (e.g., 50 µm), then the graphic density in each pane is calculated, and finally, the amount of redundant metal filling is decided based on the expressive thickness of adjacent panes. The goal of the repetitious metal filling is to minimize the graphic gradient while the window format fills through a circular algorithm to make the minimum amount of filled redundant metal, while the density gradient difference between each adjacent pane is also minimized.
Both filling methods are under-constrained. The former filling method does not consider the graphic gradient, which is an important reason for the generation of hot spots in CMP and etching processes, and the latter leads to the existence of redundant inconsistency in the metal filling, which affects the uniformity of etching and CMP processes.
WiMi’s R&D team uses artificial intelligence technology for chip redundancy automatic filling system on this basis, which selects and calculates filling density and gradient through artificial intelligence algorithm technology. The artificial intelligence chip design redundant automated filling system obtains the redundant graphic filling template map with a high yield rate, corresponding to the chip layout that needs to be filled as the training image, and obtains the filling position label and gradient of the redundant graphic through artificial intelligence model calculation; chip design redundant filling allows the chip production process to maintain the consistency of interconnection graphic density, which significantly improves the production yield of chips.
In particular, the production yield of large-capacity memory is generally low, making the chip yield rate lower. By using chip design redundancy filling, it makes it possible to place multiple memories inside the chip, and even if one or more of them have problems and fail the test, as long as the remaining correct memories in the chip meet certain conditions, through calibration and specific configuration, the whole chip will not be affected, which can improve the chip. The production yield of the chip can be improved.
WiMi Develops Convolutional Neural Network-Based Image Fusion Algorithm System.
Source
https://www.newstrail.com/wimi-develops-convolutional-neural-network-based-image-fusion-algorithm-system/
December 19, 2022
In recent years, image fusion has become a research hotspot in image understanding, computer vision, and remote sensing. It is widely used in medicine, intelligent robotics, industry, and other areas, and the study of image fusion algorithms has important theoretical significance and practical value. Meanwhile, with the continuous improvement of the computer level, the theory of convolutional neural networks is also developing rapidly, and it has been widely used in many fields, such as target recognition and face recognition. The application of convolutional neural networks to image fusion has obvious superiority, which can improve the feature extraction and assignment in image fusion and enhance the quality of fused images.
It is understood that WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a convolutional neural network-based image fusion algorithm system. Image fusion is to process and fuse two or more images acquired by different sensors to achieve complementary information between images, maximize image quality, generate content-rich merged images that better match visual perception, and then complete the analysis and processing of information. The convolutional neural network is a typical deep learning model that learns feature representation mechanisms at different levels of abstraction for signal or image data. CNN extracts features of the input image by learning filters to obtain other feature maps at each level, and each unit or coefficient in the feature map is called a neuron. Different computational methods, convolution, activation function, and pooling, are generally utilized to connect the feature maps between adjacent levels.
The key to WiMi’s convolutional neural network-based image fusion algorithm is to effectively extract image information and use an appropriate fusion strategy to maximize the useful information from the source image and fuse it into the resultant image to obtain a high-quality image.
Firstly, the images to be fused are acquired and preprocessed. The preprocessed images are input to the convolutional neural network separately for training to extract their image fusion features. Then the optimal thresholding method is used to segment the fusion features and fuse different regions of different images accordingly to obtain the final image fusion results.
A convolutional neural network is a multilayer structure, including an input layer, pooling layer, fully connected layer, convolutional layer, etc. The convolutional layer is the most critical part, which contains several neural network nodes that can extract the features for image fusion. The pooling layer can downscale the image fusion features, obtain the new image fusion feature mapping set, and then iterate continuously through the weights for training and learning. To perform the optimal fusion of images, the images must be segmented into different regions. The images to be fused are divided into other areas by the optimal segmentation threshold, and the various parts are merged to output the image fusion results.
The image fusion algorithm system based on the convolutional neural network of WiMi not only improves the clarity and brightness significantly but also improves the image signal-to-noise ratio and the image quality, which can obtain better image visual effect and has obvious superiority compared with the traditional image fusion technology.
WiMi’s convolutional neural network-based image fusion algorithm has become a critical image analysis and computer vision technology; with the continuous improvement of hardware and related research, its application in various fields will continue to develop further. WiMi has a wide range of applications in a target recognition, intelligent robotics, medical image processing, industrial Internet, etc.
WiMi develops A Visual programming tool system based on AIoT.
Source
https://www.newstrail.com/wimi-develops-a-visual-programming-tool-system-based-on-aiot/
December 19, 2022
In recent years, with the development of artificial intelligence technology, artificial intelligence technology has set off a new revolution in the global scope, promoting human beings from information to intelligence. The artificial intelligence of things technology is also developing rapidly. Artificial intelligence and the artificial intelligence of things are complementary to each other. The artificial intelligence of things technology can provide massive amounts of data for artificial intelligence, while artificial intelligence can make intelligent control and decision-making through artificial intelligence.
The combination of artificial intelligence and the artificial intelligence of things (AIoT) allows users to turn the original IoT data into useful information, allowing the system to train and learn from it and make decisions accordingly. AIoT can process and detect the data running in real-time and set the operation state at any time according to the data to optimize the business process. AI can help optimize the manufacturing process and improve work, increasing productivity and reducing operational costs. By shifting analysis and decisions to the edge, AI can help reduce the large amount of data transmitted to the cloud, thereby reducing the costs associated with cloud connectivity and cloud computing.
According to Markets, the size of the global AI market in the artificial intelligence of things market will grow from $5.1 billion in 2019 to $16.2 billion in 2024. The main factors driving the market are caused by effectively processing large amounts of real-time data, getting valuable information from IoT devices, conducting real-time monitoring, enhancing the user experience, and reducing maintenance costs and downtime. The artificial intelligence of things terminals are increasingly using AI technology, and companies have shifted from developing cloud AI to edge AI to reduce latency and costs and to achieve real-time monitoring.
With the continuous development of artificial intelligence and artificial intelligence of things technology and its wide application in various industries, the demand for programming is also increasing. To improve the efficiency of IoT application design, Reduce the programming difficulty, WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed a visual programming tool system based on artificial intelligence and the artificial intelligence of things, Provide a model-driven integrated development environment and streaming programming, With a sound development architecture, Depending on the different applications, Provide the corresponding templates and components, To achieve rapid development, Thus reducing the workload of programming, Enable business personnel to participate in the development process through visual elements; Provide enterprise solutions, templet, And supports the custom user interface and development components on the development platform.
The AIoT visual programming system of WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) allows program developers to use different control components, like building other application interfaces like building blocks. You don’t need to write a lot of code, and you don’t need to know a lot of grammar knowledge and API, especially for people who can’t program. It’s a good operation experience.
AIoT can be used in various fields, such as smart cities, industrial automation, competent medical care, smart agriculture, and smart home. IoT is the trend of the future, but such a massive scale of data analysis is almost impossible, and the data will only be valuable if it is translated into meaningful information. The artificial intelligence of things can collect vast amounts of data through the connection of network nodes, while artificial intelligence can get more information from this data and use analytical methods to make decisions. Combining the artificial intelligence of things and artificial intelligence can improve and improve the existing technology ecology.
WiMi Develops Neural Network-Based Data Fusion Algorithm System.
Source
https://www.newstrail.com/wimi-develops-neural-network-based-data-fusion-algorithm-system/
December 16, 2022
With the advancement of 5G, artificial intelligence, big data, and other technologies, as well as the digitalization of economic life, people’s requirements for processing diverse and large amounts of data and information are significantly increased. The diversity and complexity of data forms and the timeliness of data information fusion processing have greatly exceeded the information processing capacity of the human brain. In this context, the data fusion algorithm technology based on a neural network has come into being.
It is understood that the WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is developing a neural network-based data fusion algorithm system. Data fusion is the comprehensive processing and optimization of the acquisition and representation of multi-source and multi-dimensional information, its intrinsic connections, and the formation of complete, accurate, timely, and effective integrated details.
Neural networks are algorithms that mimic the human brain for information processing and have powerful self-learning, adaptive, nonlinear matching, and information processing capabilities. Applying neural network technology in data fusion can effectively reduce redundant data transmission, improve the real-time performance and accuracy of data fusion, and improve the performance of data fusion algorithms.
Neural networks usually consist of an input layer, a hidden layer, and an output layer, and the multilayer network architecture makes the information output more accurate. A neural network algorithm is a supervised learning algorithm whose main idea is to learn the available network intrusion samples using a gradient search technique. The final goal is to minimize the mean square error between the actual output value and the desired output value of the network.
In addition, neural networks provide nonlinear transfer functions and parallel processing capabilities to help perform image fusion. The neural network consists of processing nodes called neurons connected to build a neural network data fusion model that assigns neurons and interconnects weights based on the relationship between multi-sensor data inputs and outputs.
Neural networks have strong characteristics such as fault tolerance and self-learning, self-organizing, and self-adaptive capabilities. In the system model of the neural network-based data fusion algorithm developed by WiMi, its classification criteria are determined based on the similarity of samples accepted by the system. The distribution of weights of the network characterizes this process. At the same time, a neural network-specific algorithm is used to acquire knowledge and obtain uncertainty inference mechanisms. The neural network’s signal processing capability and automatic inference function are used to achieve multi-sensor data fusion.
- Firstly, according to the intelligent system requirements and the form of sensor information fusion, its topology is selected;
- secondly, the input information of each sensor is synthesized and processed 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 structure of the network itself through the interaction between the neural network and the environment. Finally, the sensor output information is learned, understood, and the assignment of weights is determined to complete the knowledge acquisition information fusion. Then the input patterns are interpreted, and the input data vectors are converted into high-level logical concepts.
WiMi’s neural network-based data fusion algorithm system uses the generalization ability of neural networks and the ability of pattern recognition, which can be used as a classifier to deal with uncertain information, fuse the sensor information obtained by the network, bring the parameters of the corresponding network, convert the knowledge rules into digital form, and establish a data knowledge base.
It also uses information from the external environment to achieve automatic knowledge acquisition and parallel associative reasoning. The complex relationships of the uncertain climate are fused into accurate signals that the system can understand after learning and reasoning.
The neural network can massively parallel process information, improving the speed of information processing in the data fusion algorithm system and effectively reducing redundant data transmission, increasing the accuracy of data fusion and improving the performance of the data fusion algorithm. At the same time, the distributed information storage and parallel processing characteristics of neural networks are used to achieve real-time recognition and improve the performance of data recognition systems.
WiMi Proposes Super-Surface Dynamic Holographic Technology.
Source
https://www.newstrail.com/wimi-proposes-super-surface-dynamic-holographic-technology/
December 16, 2022
Holographic teleportation is a similar meeting technology between virtual and real space, which uses real-time rendering and computing technology to convert three-dimensional information in the real world into multidimensional visual information and superimpose virtual objects (such as people or devices) into the real world. It allows you to interact in a virtual environment and convert the real world into a multidimensional hologram using real-time rendering and computational techniques. Unlike virtual technologies such as VR and AR, holographic teleportation allows users to “travel” between real and virtual space by reproducing three-dimensional images of the real world.
Although holographic transmission can store the amplitude and phase of the light field and reproduce vivid multidimensional scenes, the large pixel size, low resolution, small field of view (FOV), and limited spatial bandwidth of conventional spatial light modulator (SLM) devices limit the possibility of improving the quality of reconstructed images. With the development of nanofabrication technology, super-surfaces show great potential in controlling the amplitude, phase, polarization, frequency, or multiple parameters of the ultra-short range output light by tailoring the scattering behavior of nanostructures with sub-wavelength resolution, and this flexibility makes super-surfaces a promising candidate for holography-related applications. In this regard, to improve the image quality of color holography and reduce the crosstalk between different colors of broadband, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) proposed the concept of dynamic holography on the super surface and obtained a patent for a spatial filter processing device based on optical holography.
The spatial filtering technology in WiMi’s current patent is to process and adjust the data of each pixel point of an image (independent picture or frame in a video, etc.) through a filtering function to achieve a predetermined purpose and to perform spatial filtering processing on the existing to the image, which mainly consists of a division module, a setting module, and a processing module, through which the image is filtering process.
The transmission/reflection light field distribution with fine nanoscale resolution can be achieved to encode holographic complex amplitudes using super-surface dynamic holography to produce arbitrary holographic intensity distributions in the plane. It allows the image center to be consistent when reconstructing images at different depths while eliminating the interlayer crosstalk problem and improving the quality of multidimensional holographic imaging by exploiting the feature of non-overlap between different layers in the hologram.
The present research results aim to solve the two core problems of the large volume of optical structures and visual convergence conflict in the same near-eye display system and provide a novel, simple, and easy-to-operate optical information fidelity method that can reproduce target images with complex patterns and high resolution and fidelity requirements by constructing hybrid pictures based on the characteristics of human eye observation targets and frequency information of the images.
As far as the current research is concerned, there is still a need to pursue higher capacity information reuse, more considerable area processing, and lower latency real-time reconfigurability in the visible region based on super-surface dynamic holography. There is still much room for the development of super-surface dynamic holography. WiMi will use super-surface dynamic holography to further research in the direction of high performance, real-time dynamics, multi-channel encoding, chip/fiber integration, and other applications in the future.
TECHNOLOGYWiMi Realized The Multi-Dimensional Digital Holographic Remote Interaction by 6G Holographic Communication.
Source
https://techannouncer.com/wimi-realized-the-multi-dimensional-digital-holographic-remote-interaction-by-6g-holographic-communication/
December 15, 2022
With the advent of 6G technology, many fantasy scenes will come true by 2030. One of the most noticeable changes is that 6G speeds will be 10 to 100 times faster than 5G. In terms of coverage, the 6G wireless network is no longer limited to the ground. It will realize the connection of the ground signal base station, satellite, and airborne network. Furthermore, the Degree of Intelligentialization has improved with the deep integration of AI artificial intelligence and machine learning.
Regarding positioning accuracy, the traditional GPS and cellular multi-point positioning accuracy have many limitations, and it isn’t easy to realize the accurate deployment of indoor objects. However, 6G Technology is enough to achieve high-precision positioning of Internet of Things devices. Therefore the research and development center of WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) seized the opportunity.
The company further studies the integration of edge computing, robotics, artificial intelligence, digital holography, and 6G communication. Relying on the 6G network, WiMi plans to integrate digital holographic technology into communication, telemedicine, office design, entertainment games, and many other application scenarios to realize the fundamental interaction between digital holographic virtual content and users, significantly shorten the distance between information transmission and users, and establish an information transmission mode with human experience as the core.
Holographic communication service is a solution for high immersion and multi-dimensional interactive scenario data based on naked-eye holographic technology, which includes the widespread application of collection, coding, transmission, rendering, and display. It consists of the whole end-to-end process from data collection to multi-dimensional sensory data restoration, and it is a highly immersive and highly natural interaction business form.
WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) studies the supporting holographic communication structures as depicted on this page which will significantly enhance the attractiveness, practicality, and efficiency of the information transmission between the two parties. Furthermore, the capture sensor can provide real-time status about the user’s face and body and it reduces the bit rate requirement on the network by applying format conversion and filtering before encoding.
Compressed holograms are transmitted to digital holographic devices through low-latency, reliable transmission networks such as 6G. The compressed hologram is decoded and processed on a digitized holographic device before being presented in an air environment. At the same time, the rendering engine considers the positioning and semantic information of the device and the rendering scene so that the hologram can be directly displayed in the air. With 6G technology, users can transfer high-performance computing to the network, thus reducing power consumption and end-to-end latency for mobile devices.
To make this process of users – computers – items – environment a perfect collaboration, the development center of WiMi Hologram Cloud is also researching and creating a multi-dimensional digital hologram that can not only propagate in real-time in the air without media but also respond to the touch of imaging. They plan to create patterns in the air using a laser light that emits ultrashort light pulses.
High-intensity beams can decompose air molecules by ionization, thus creating transient spots or plasma. This way, the image is rendered by quickly adjusting the laser focus in multiple dimensions, generating thousands of launch points or voxels per second and following them in real-time. The current application of holographic communication technology is still in the initial stage. With the continuous optimization and integration of technology, this will be a disruptive breakthrough in the computer information technology industry.
This research from WiMi Hologram Cloud turns the simple communication mode in the past to the communication mode with holographic information as the carrier which is no longer limited by the region or environment. People are “truly” gathered together, bringing new enjoyment to remote interaction.
WiMi Is Training An AIHolo Robot To Generate 3D Holograms.
Source
https://www.newstrail.com/wimi-is-training-an-aiholo-robot-to-generate-3d-holograms/
December 14, 2022
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is training an AIHolo robot to generate 3D holograms for users using AI artificial intelligence in neural networks, which can go through the instructions in the training prompts and provide detailed responses. It can automatically generate multiple holograms for the user’s requirements for the hologram, giving the user various holograms that are understood according to the customer’s requirements. WiMi AIHolo robot is based on the open source OpenAI-Photo open-source image generation basis and intelligent recognition of local items, depth of field, depth, phase, etc. of the image, and then controlled by the complementary difference algorithm for 3D holographic image pixel high-precision processing.
The initial stage uses the user’s feedback to strengthen the training AIHolo. The engineer will use human supervision to train an initial AIHolo model, give instructions and provide practice subjects. AI training engineer is the user of the AI hologram generation program AIHolo. In the back end, the AI training engineer can access the model and write the program to help AIHolo generate the images accordingly.
Then the engineer will build optimization models, create optimization logic for reinforcement learning and collect comparison data. At least two or more models ranked by quality are needed, so there will be multiple AI training engineers to give instructions, collect different comparison data and different sample results and then compare them and rank them manually so that models are optimized. And then, engineers will consider using the PPO (Proximal Policy Optimization) to fine-tune the model and iterate the optimization model many times.
AIHolo may also have many problems and limitations because AI is a computer program. New areas are required to complete the initial training model and design the framework for future training techniques. AIHolo also needs to avoid responding to sensitive and harmful instructions or generating biased 3D holograms, which requires review to stop such unsafe content. Of course, there may be some false positives and missing critical information, which requires the following collection of user feedback to help AIHolo improve and optimize the system’s work. It is also very likely that the user needs to provide more complex instructions so that AIHolo makes further inquiries or guesses through its understanding of the user’s intentions and cannot get the best results. Therefore, subsequent user participation is needed to train and optimize AIHolo and continuously iterate.
The launch of AIHolo will likely disrupt the entire 3D holographic mapping field. It may change some of the ways 3D holographic mapping engineers used to work and improve the efficiency of enterprises. WiMi AIHolo will give users and enterprises the convenience and variety of options to obtain 3D holograms using AI artificial intelligence of neural networks.
gap filled,hold on tight
WiMi Hologram Cloud Developed A Intelligent Driving System.
Source
https://www.newstrail.com/wimi-hologram-cloud-developed-a-intelligent-driving-system/
December 13, 2022
Under the trend of integrating artificial intelligence in automobiles, artificial intelligence technology based on neural networks, deep learning, and other algorithms has become a hot and challenging point in the research field of the intelligent driving industry.
With the development of auto driving, pedestrian and obstacle recognition is becoming increasingly important. The research and development team of WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed a pedestrian and obstacle recognition system based on vehicle multi-source information perception technology. This system integrates multi-sensor information such as environment sensing sensor, inertial measurement unit, IMU fusion, and laser radar for intelligent recognition, and carries out real-time dynamic estimation and tracking of distance and speed of objects through millimeter-wave radar and forward-facing camera, thus realizing fast and accurate identification of obstacles and pedestrians.
The WiMi Hologram Cloud multi-source information vision technology uses multiple cameras to collect information from different directions and distances. At the same time, this data is processed, fused, and output to the controller to achieve accurate identification and positioning of pedestrians and obstacles. Based on traditional multi-sensor technology, the depth learning algorithm is further introduced, which can better realize the effective collaboration of physical parameters such as distance, speed, and orientation between vehicles and pedestrians and achieve the comprehensive evaluation and detection of multiple different objects (such as human shape, animal, car, etc.). This method can effectively evaluate the accuracy of vehicle crash analysis and evaluation, reduce the incidence of road traffic accidents, and thus improve the safety of automatic driving.
Automatic driving requires a large number of high-quality, safe, and unbiased data for simulation training, so higher requirements are put forward for the accuracy of data annotation. WiMi Hologram Cloud R&D team is developing artificial intelligence data annotation algorithm technology and applying it to holographic vehicle multi-source information perception pedestrian and obstacle recognition systems. In the process of data preprocessing, synthetic intelligence data annotation is indispensable because the supervised machine learning model can learn to identify the repeated patterns in the annotated data. After processing many labeled data, the algorithm can recognize the same way when new, unlabeled data appears. WIMI Hologram Cloud R&D team has conducted a lot of in-depth research and development in the field of computer vision (boundary box labeling, 3D point cloud labeling, essential point labeling, line labeling, 2D/3D fusion labeling, target tracking, image classification, semantic segmentation, etc.), voice engineering (voice cutting, ASR voice transcription, voice emotion determination, voice print recognition, etc.), and natural language processing (OCR transcription, text information extraction, NLU sentence generalization), independent research and development of data engine framework, data cleaning and annotation through AI test model, and completion of artificial intelligence model training and deployment.
Data annotation is the process of adding metadata to the training dataset. This metadata is usually in the form of tags and can be added to any data, including text, images, and videos. Adding high-quality and high-precision labels is a key process in developing training data sets for machine learning.
WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) introduces artificial intelligence data annotation algorithm technology into the pedestrian and obstacle recognition system of holographic vehicle multi-source information perception technology, which can more effectively improve the efficiency and accuracy of data processing in the field of automatic driving. In the future, AI data annotation will be widely used in more areas, such as medical imaging analysis used to improve disease prediction, diagnosis, and treatment; Face recognition payment, AR/VR, urban security and monitoring, etc.
WiMi Designs A Variety of Chips For 3D Holographic LiDAR.
Source
https://www.newstrail.com/wimi-designs-a-variety-of-chips-for-3d-holographic-lidar/
December 13, 2022
WiMi is the first listed holographic AR stock with holographic technologies and applications and has been the industry leader for a long time. It develops commercial chips for IoT, XR, and AI. WiMi is also the first company to propose the theory of 3D holographic LiDAR technology and put it into R&D and design.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has designed and developed five chips based on 3D holographic LiDAR technology, all of which are designed with Bi-MOS structure, a new process technology that integrates bipolar transistors (BJT) and MOS devices on the same chip. This design structure combines the advantages of two devices on the same substrate because of WiMi’s chip design requirements that chips should feature high speed, high performance, and accuracy of various information processing, communication, and network circuits, etc. Therefore, the Bi-MOS structure is used.
In the Bi-MOS structure, the bipolar devices have the strong driving capability, high analog accuracy, and high speed but high power consumption and low integration, which cannot realize super large-scale integrated circuits. At the same time, MOS devices have weak driving capability, low speed but low power consumption, high integration, and high anti-interference capability.
In 3D holographic LiDAR applications, the two devices cannot meet alone because of the large amount of information, the need for accuracy, speed interference, and large-scale data integration processing. In high-performance digital and analog integrated circuits, Bi-MOS structure is an effective solution in 3D holographic LiDAR chip design with high speed and high integration and is a reliable technology for high-performance ultra-large scale integrated circuits.
The five chips designed by WiMi based on 3D holographic LiDAR technology are:
- a coherent 3D holographic LiDAR diffuse target detection chip,
- tunable 3D holographic LiDAR chip,
- 3D holographic LiDAR-based SLAM, and fusion positioning chip,
- vehicle-based 3D holographic LiDAR road cross-section measurement chip, and
- 3D holographic LiDAR chip for FMCW-oriented 3D holographic LiDAR light source phase noise compensation chip.
These will be used in engineering, construction, consumer products, and driverless industries.
In consumer electronics, WiMi’s 3D holographic LiDAR can be integrated into camera arrays for holographic spatial scan rendering or high-precision scanning of items to achieve AR applications. Of course, the current AR scanning technology combined with consumer electronics is not mature; this is because there is no professional chip to process it, so it can only generate relatively fuzzy and distorted digital imaging, but this also makes many people have great interest in developing this kind of technology, such as some entertainment, tools or engineering assistance applications that do not need high precision data. If integrated with a high-precision professional 3D holographic laser LiDAR’s chip will play a pivotal role in forming a high-precision restored digital image, and the fields that can be applied will be significantly expanded.
3D holographic LiDAR can also be applied together with HD camera systems and other sensors, such as combining with UAV mapping and satellite remote sensing technology to obtain ultra-high precision holographic 3D spatial images, which can be applied in professional mapping and related commercial applications, significantly improving the accuracy of the current mainstream LiDAR technology in the market and realizing high precision detection in space.
3D holographic LiDAR will also enhance and replace traditional LiDAR technology in autonomous driving. In recent decades, traditional LiDAR technology has been widely used in autonomous vehicle technology (such as adaptive cruise control systems). Traditional LiDAR technology can accurately map position and distance, speed-sensing pulsed laser solid-state beam to measure distance and give the vehicle The traditional LiDAR technology can accurately map the post and space, speed-sensing pulse laser and solid-state beam to measure the length and give the car control system to be efficient real-time feedback, but only at the level of L1/L2 autonomous driving.
WiMi’s 3D holographic LiDAR technology is designed and developed based on industry demand. 3D holographic LiDAR technology uses laser beam scanning feedback technology to measure the 3D holographic point position in the surrounding space relative to the sensor’s comprehensive scanning feedback. 3D holographic LiDAR can achieve tens of thousands of laser pulses per second, and 3D holographic spatial data efficiently feedback to the vehicle’s autonomous driving system so that the car can respond to road conditions, surrounding vehicles, pedestrians, and other obstacles.
For example, WiMi developed and designed a 3D holographic LiDAR light source phase noise compensation chip for FMCW to perform vital sign detection. The chip uses FMCW in combination with 3D holographic laser LiDAR technology, where the frequency sent by FMCW is a waveform that varies over time, usually linearly, and it can detect breathing through the chest or abdominal undulations. The thoracic undulation can be treated as a moving target, where inhalation is equivalent to motion toward the LiDAR signal and breathing is equal to moving away from the LiDAR signal, and the trajectory accuracy of the breathing motion can be obtained by decoherence is relatively high.
This can be used to avoid objects with vital signs in priority under emergencies triggered by automatic driving. Traditional LiDAR can only determine the attributes of object types through object appearance recognition. For example, the dummy on the roadside and the natural person cannot make sufficient distinctions and determination. Therefore, applying an FMCW-oriented 3D holographic LiDAR light source phase noise compensation chip will effectively improve the safety of autonomous driving.
Compared with traditional LiDAR systems, 3D holographic laser LiDAR can provide higher accuracy/resolution information for autonomous driving systems because it needs to generate more complex 3D holographic space. In addition, compared with high-precision camera-assisted LiDAR systems, because the laser pulse has more substantial penetration and can provide longer detection distance when the weather condition is poor, to provide autonomous driving with Earlier prediction and adjustment to react accordingly. When combining 3D holographic LiDAR data with positioning information, it is possible to map the vehicle’s surroundings fully.
For example, the SLAM and fusion positioning chip based on 3D holographic LiDAR developed and designed by WiMi is based on 3D holographic LiDAR simultaneous localization and mapping (SLAM: Simultaneous Localization And Mapping), 3D holographic LiDAR can obtain accurate distance and intensity information from the surrounding environment, which can be applied to high-precision map construction It can be used to high-precision map construction and map-based matching positioning, which can effectively enhance the control effectiveness and stability of satellite positioning in weak signal areas and improve the safety and soundness of autonomous driving by improving information accuracy and precision.
Laser LiDAR is already the primary auxiliary sensor for L3 autonomous driving technology, and it is believed that the richer spatial and environmental information provided by 3D holographic laser LiDAR will become the necessary primary sensor in L4-5 level autonomous driving technology.
What can be confirmed is that holographic technology will provide more high-precision applications in the future. WiMi starts from the bottom of 3D holographic LiDAR technology and combines with various industry fields to empower various applications and landing prospects. Holographic technology is now booming, and its application is developing in the direction of depth, gradually penetrating multiple areas.
WiMi Developed A Holographic MES Intelligent Production Management System.
Source
https://techannouncer.com/wimi-developed-a-holographic-mes-intelligent-production-management-system/
December 12, 2022
With the development of the industrial Internet, the promotion of Industry 4.0 and intelligent manufacturing stimulate more and more enterprises to explore visual data analysis of industrial production. The construction of an MES intelligent industrial production management system can enable enterprises to convert a large amount of real-time data into visual information graphics displays, which can better help enterprises to carry out production planning, scheduling, exception analysis, quality control, production management decision-making, and other management activities.
WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) provides users with visual solutions for production management, assists enterprises in digital transformation and upgrading, and improves production efficiency and economic benefits.
WiMi Hologram Cloud developed a holographic MES intelligent industrial production management system in the WiMi Holographic Cloud Platform based on customer needs and actual use. The “WIMI Holographic MES Intelligent Production Management System” developed by WiMi Hologram Cloud can integrate two-dimensional digital content with natural three-dimensional scenes through AI recognition technology and holographic projection technology, and display physical equipment, process flow, product process, production data, and other information into 3D settings in real-time, bringing customers a new immersive experience.
WIMI Holographic MES intelligent production management system is developed with a new 3D engine, which can better show the actual scene of the factory; AI identification technology is adopted to automatically identify equipment model, material type, and other information; The 3D modeling and visualization tools are used to realize the visual display of workshop production, and the dynamic interaction and real-time rendering technology of 3D models are used to display the plant operation status and other information; Support multi-dimensional display, including plane, elevation, three-dimensional space, physical product display, and real-time data display.
In terms of human-computer interaction, WIMI holographic MES intelligent production management system provides a variety of human-computer interaction input modes. In terms of interface design, it supports different types of display interfaces, such as 3D display, 3D video, etc., and can realize 3D model display and dynamic demonstration of equipment through AI recognition technology; At the same time, users’ usage habits shall be fully considered in the interaction design, for example, the system can support simultaneous collaborative access by multiple people.
In the aspect of data application, the statistics and analysis of enterprise production data are carried out to help enterprises find problems in the production process promptly and monitor and warn the abnormal situations in the production process to achieve real-time monitoring and odd early warning of various production indicators.
Through real-time online data, intelligent analysis, and visual display, WIMI holographic MES intelligent production management system can intuitively see the actual operation status of the factory, the overall process in the current workshop, and the number of operators required at each station. Let enterprise managers comprehensively understand production process parameters, process routes, and other aspects of data performance. Through the visual display, we can understand the actual operation of the factory more intuitively and stereoscopically, provide the basis for scientific decision-making, and improve the advanced management level of the enterprise.
WIMI holographic MES intelligent production management system can analyze the equipment status in real-time through AI identification technology, such as whether it is running, shutdown, overhauling, etc., and provide equipment maintenance plans and time suggestions. The system can automatically calculate the maintenance proposal according to different equipment, such as whether the essential parts have faults, equipment operation status, etc. The system supports the equipment management of the production workshop. The production personnel can view and control each equipment’s regular operation and working status in real-time through the 3D visualization platform.
At the same time, detailed information on production equipment, such as model name, quantity, and usage status, can be automatically synchronized to the enterprise intranet. The system can predict and analyze different types of equipment and predict whether the production plan for the next month is consistent with the actual situation according to historical data and market conditions to take measures in time; Further adjust the production plan based on the forecast results.
WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) takes the development of a holographic MES intelligent production management system as a starting point, builds an industrial Internet innovation platform based on MES, AI, and holographic technology, further integrates and improves the Internet of Things, machine learning, extensive data analysis, data modeling, and other technologies, enhances the user experience with AR/VR/holographic technology, and supports industrial enterprises to carry out digital transformation in design, manufacturing, service, and management.
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