The school is an important place for students to study and live. It is an important responsibility of the school management to ensure students' learning safety. Some off campus personnel often use management loopholes to enter and leave the school at will, which brings hidden dangers to the school safety. In order to strictly control the access of personnel in the school dormitory area and teaching area, prevent regardless of molecules and realize effective, safe and unified management, It is necessary to install intelligent face recognition access control system at all major entrances and exits of the school. Face recognition access control is a completely offline face recognition access control and attendance product. It is often used to replace card swiping and fingerprint access control and attendance machines in the market. Regional feature analysis algorithm, which is widely used in face recognition technology, integrates computer image processing technology and the principle of Biostatistics. It uses computer image processing technology to extract human image feature points from video, uses the principle of biostatistics to analyze and establish a mathematical model, namely face feature template. Using the built face feature template and the human face image of the tested person for feature analysis, a similarity value is given according to the analysis results. This value determines whether it is the same person. In schools with face recognition access control, only need to put the collected student photos into the database in advance, and the system camera will automatically capture the student's face, and then compare the collected face data with the database. The identity verification can be completed in less than 1 second, reaching the level of dozens of people per minute. Moreover, the specific time and photos identified by the system will be immediately pushed to parents.
![Face Recognition Access Control on Campus to Improve Safety and Management Efficiency_ Taigewang Tec 1]()