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Monday, December 05, 2022 9:07:56 AM
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https://www.newstrail.com/wimi-hologram-cloud-developed-intelligent-face-detection-recognition-system/
December 5, 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 by comparing identity information. In the security industry, holographic face recognition systems can be used not only for monitoring and prevention measures and anti-theft alarm systems in densely populated places such as airports, stations, and hospitals but also for fraud prevention and security monitoring in the commercial field. According to the data of Markets and Markets, the global facial 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, Inc. (NASDAQ: WIMI) developed a holographic intelligent face detection and database comparison recognition system. WIMI holographic intelligent face detection realizes human identification and identity authentication through the image’s distribution of facial feature points. The 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 and RGB/RGB technology.
To provide the accuracy of detection information and recognition efficiency, the WIMI R&D team independently developed a facial detection algorithm, which realized real-time detection of facial features. It 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 various complex scenes. According to its characteristics in complex environments, we have developed face quality assessment, pose assessment, backlight detection, and other technologies and proposed a new method based on face priority.
Regarding facial attributes, the WIMI holographic intelligent face detection and comparison system adopts multiple points’ association method. The details with high correlation are used for sharing network characteristics, while the mutual exclusion is used for feature decoupling. The algorithm can predict a single model and multiple facial features online and in real-time through repeated iteration. The WIMI holographic intelligent face detection and comparison system adopt 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 to solve the problem of face occlusion.
With the continuous development of artificial intelligence and big data, face information has become an essential part of personal information. WIMI holographic intelligent face detection and comparison system ensure users’ information security 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, 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 the centralized storage of sensitive information.
The development of WIMI 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.
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