Traditional access control mainly relies on the income and expenditure of access control card. In the process of use, once the access control card is lost, it will fall into the dilemma of being unable to pass through the access control, and the access control card needs to be processed from scratch. During this period, the fingerprint identification access control began to appear. This portable "fingerprint access control card" is undoubtedly a big advance for the traditional access control, but the problem is not small. Once the user shows that the fingerprint is too shallow, the fingerprint is broken, the hand is wet, dust and other conditions, he can't pass through the access control
compared with the above two kinds of access control cards, face recognition access control is recognized according to people's facial characteristics. There is no need to carry a card and you can pass by brushing your face. Therefore, face recognition access control system is becoming more and more popular. Face recognition is a kind of biometric recognition skill which can recognize people's identity according to their facial feature information. Face detection and recognition system is based on deep learning neural network, which has the advantages of low cost, fast detection, high accuracy, active learning and so on
it supports private layout and can accurately detect and recognize faces without connecting to the Internet. It is a real offline face recognition system. The face recognition API interface can complete the function of face recognition on the original system with only a few lines of code, and can freely connect to the mall system, member management system, all-in-one card system, applet, OA working system, ERP system and other systems
with the continuous progress of skills, in the future, the function of face recognition access control system will be stronger and more widely used. The combination of efficient improvement of visitors' traffic rate will bring new experience to visitors< br/>