In the traditional access control card system, once the user loses or misses the access control card during use, he will fall into the embarrassment of being unable to pass the access control. Although fingerprint recognition is also a major improvement in access control cards, once the user's fingerprint is broken, his hands are wet, and his hands are covered with dust, the access control still cannot pass.
Compared with the above two types of access control cards, the face recognition system access control has obvious advantages. Recognition is based on the facial features of the person, swiping a card can pass without a card. Therefore, face recognition access control systems are becoming more and more popular. The face detection and recognition system is based on a deep learning neural network and has the advantages of low cost, fast detection speed, high accuracy, and automatic learning. It can be connected to a variety of systems, such as shopping mall system, member management system, all-in-one card system, small program, OA office system, ERP system, etc. With the continuous advancement and breakthrough of technology, the function of face recognition access control is becoming more and more powerful, and its application is more and more extensive. While efficiently improving the pass rate of visitors, it also brings a brand new experience to visitors.
The application scenarios of face recognition in the field of gates are also diverse. Facial channels for employees to go to work, facial channels for passenger entry, airport facial recognition channels, school facial recognition channels, scenic facial recognition channels, community facial recognition channels, etc.