Hanwang is an early enterprise engaged in the research and development of face recognition technology. At the Shenzhen Anbo Conference, Hanwang's latest non-fitted visible light face recognition system has attracted attention. According to Shi Jian, the technology can be used for security inspection with HD network cameras. It can collect facial feature information at medium and long distances and compare it with the background library. If the identified object is a suspicious individual, the system will automatically alarm. He revealed that this technology has been applied to the security check system of Tiananmen Tower.
Compared with the current widely used fingerprint recognition , the face recognition system is based on the three-dimensional recognition method, and the recognition accuracy is higher. The recognition system extracts more than 80 key points on the face, including the corners of the eyes, the lower eyelids, the tip of the nose, etc. In addition, there are thousands of auxiliary points to realize intelligent recognition of the face. Shi Jian said that if it is a change in the "face decoration" such as hairstyle, it will not affect the recognition effect. "Even if the identical twins are similar, they can be identified, and their accuracy is only 10% lower than the universal recognition." The stability of face recognition is also not available in fingerprint, iris and other biometric identification methods. Face recognition also has good concealment and non-mandatory, and can complete the biometric comparison without the knowledge of the testee, without the cooperation of other personnel.
Nowadays, face recognition technology has achieved breakthroughs in the attendance access control market, and has been widely used in college entrance examination candidates, kindergarten children's pick-up management, and airport key area security management. Shi Jian believes that face recognition will gradually integrate into daily work life and will become the most effective means of identity authentication. He said that financial payment, for example, can be authenticated by using a face instead of a password to ensure the security of payment.
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