Nowadays, under the influence of factors such as the booming development of artificial intelligence and the popular application of mobile payment, Face Recognition is no longer just a literal term. Some schools have begun to gradually introduce Face recognition technology for reasons such as building smart campuses. In some universities, face recognition gates are installed at school gates, student dormitories, classrooms, libraries, etc., to manage students' daily entry and exit.

For a time, the introduction of face recognition into campuses seems to have become a craze, and many schools have followed suit. So, what are the advantages of face recognition gates for campus management?

Face recognition access control gates have unique advantages in application:
1. Facial recognition access control gates are easy to use and highly accepted by users. Face recognition technology uses a general-purpose camera as an identification information acquisition device to complete the recognition process in a non-contact manner without the recognition object being noticed.
2. Facial recognition access control is highly intuitive. The basis of face recognition technology is the human facial image, and the human face is undoubtedly the most intuitive information source that can be distinguished by the naked eye, which is convenient for manual confirmation and auditing, and "judge a person by appearance" conforms to the law of human cognition.
3. Face recognition access control has high accuracy and fast speed. Compared with other biological recognition technologies, the recognition accuracy of face recognition technology is at a higher level, and the false recognition rate and rejection rate are lower.
4. Face recognition access control is not easy to counterfeit. In applications with high security requirements, face recognition technology requires that the recognition object must be at the recognition site in person, and it is difficult for others to counterfeit. The unique active discrimination ability of face recognition technology ensures that others cannot deceive the recognition system with inactive photos, puppets, and wax figures. This is difficult to achieve with biometric technology such as fingerprints. For example, using the severed finger of a legitimate user can impersonate the identity of a legitimate user and make the identification system undetectable.