Kneron has released a true face recognition solution designed for smart phone unlock applications. Even if you are a smart phone with a megapixel or more, you can install Kneron's face recognition software and use the deep learning algorithm to accurately identify face features and determine whether it is a real person or not. The risk of unlocking the movie. The unlocking speed is as fast as 0.2 seconds and the error value is less than one ten thousandth. One mobile phone can recognize multiple faces. Kneron's face recognition solution has been adopted by mobile phone manufacturers and will be promoted to the global market through partner Universal Mobile (GMobi).
Kneron founder and CEO Liu Juncheng said that traditional face recognition technology still has many security vulnerabilities, such as using photos and videos to crack. If you want to identify whether it is a real person, you often need to match high-end hardware specifications, such as infrared lenses. High-resolution lenses, even need to change the hardware design. Kneron offers an innovative face recognition solution that allows the entry phone to use the face unlock function without the need to update the phone design or add new hardware components. It can be quickly and accurately achieved with software updates. Safe face recognition.
GMobi CEO Wu Boyi said that GMobi has many years of experience in professional mobile phone software services, assisting manufacturers around the world to update their mobile devices and provide a variety of advanced services. Currently, there are 250 million end users worldwide. Kneron's innovative face recognition solution helps manufacturers quickly introduce artificial intelligence technology into their mobile phones, bringing new developments to face unlocking. GMobi hopes to promote this solution to the global market through cooperation with Kneron, making the mobile phone face unlocking function popular and becoming a function that everyone can use.
Kneron's real face recognition solution combines sophisticated face detection and recognition technology with deep learning algorithms to unlock speeds as fast as 0.2 seconds and error values ​​below one ten thousandth, and a single phone can recognize multiple faces. In order to determine whether it is a real person, three different technical solutions can be selected: optical sensing analysis, biological behavior discrimination, and background depth of field detection. Taking optical sensing analysis as an example, in addition to detecting facial features, facial light and shadow changes can be analyzed to determine whether it is a three-dimensional human face. Biological behavior discrimination is combined with behavioral detection, such as blinking an eye, to determine whether it is a real person. In addition, if the front lens of the mobile phone already has the auto focus function, you can also use the background depth of field detection scheme to analyze the scene depth of field to eliminate the situation of unlocking with the flat image.
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