Face recognition, face recognition instrument is mainly used for face recognition attendance in enterprises and institutions. The AI+ face recognition temperature detection smart terminal is based on face recognition and adds a built-in infrared non-contact temperature measurement module, which can simultaneously measure the temperature of passers-by's forehead and facial skin during face recognition. The entire identification and measurement process is non-contact, accurate, reliable and efficient. Face recognition + body temperature detection The intelligent terminal has embedded face recognition detection and deep learning-based living body recognition algorithm, and the recognition speed is less than 1 second; the built-in temperature sensing module can quickly measure the surface temperature of the face; the latest face Detect and identify models, quickly capture faces, intelligently judge the quality of faces, and accurately compare and identify faces; manual sign-in to work has been gradually replaced by "face brushing". It is understood that most of the face recognition technologies currently on the market are face recognition technologies with low accuracy. "Make-up, covering your face, and wearing headgear are all tricks in front of high-precision face recognition technology. With the increasing demand for the accuracy of face recognition in the market, accurate face recognition technology came into being." Compared with face recognition technology, 3D face recognition technology is very different in measuring depth accuracy.
Face recognition, more and more cities will adopt face recognition visitor system. The facial recognition visitor system will play a more important role in the future. The face recognition visitor system is a system based on face recognition technology, which extracts face biometrics for storage and recognition, and has management functions. There are many advantages to adopting a facial recognition visitor system. Face recognition means it performs better overall on the platform. Face recognition is a recognition technology that compares the visual features of different faces, and belongs to biometric recognition. Non-contact, the user does not need to directly contact the device; the face recognition attendance system is highly accepted by users, the recognition is natural, and no personnel operation is required; the photos can be traced back and retained for identity comparison after the event; non-mandatory, can actively obtain the recognized face image Information; face recognition attendance system can be used in various industries, especially access control attendance system. The face recognition attendance system is a high-performance, high-reliability face recognition product. It relies on deep learning algorithms to achieve fast recognition speed and high accuracy. The face recognition attendance system supports face recognition, witness comparison, IC card verification, etc., and is used in conjunction with personnel channels. The device adopts the leading face recognition learning algorithm, which has faster recognition speed and higher accuracy.