Problems facing traditional access control
       In the traditional access card system, once the user loses the access card or misses the access card during use, he will fall into the embarrassment of not being able to pass the access control. Although fingerprint recognition is also a major advancement in access control cards, once the fingerprints of the user's fingerprints are wet, dust, etc., they cannot pass the access control.

Advantages of face recognition access control system

       Compared with the above two types of access cards, the face recognition access control system has obvious advantages. Based on the facial features of people, it is not necessary to bring a card, and the face can be passed, so the face recognition access control system is more and more popular.

       With the continuous advancement of technology, the problems existing on it will be solved. In the future, the face recognition access control system will be more and more powerful, and the application will be more and more extensive, and the visitor's traffic rate will be improved efficiently. Will bring a new experience to visitors.

       The face detection and recognition system is based on deep learning neural network and has the advantages of low cost, fast detection, high accuracy and automatic learning. The solution supports private deployment and can accurately detect and recognize faces without the need to connect to the Internet, a true offline face recognition system. And the industry provides a flexible open interface, which can realize the face recognition function on the original system with only a few lines of code, and can be connected to the mall system, member management system, card system, small program, OA office system, ERP system. Any system.

Face recognition

       Face recognition is a biometric recognition technology based on human facial feature information for identification. For the input face image or video stream, it is first determined whether there is a face, and if there is a face, the position and size of each face and the position information of each main face organ are further given. Then, based on the information, the identity feature data contained in each face is further extracted and compared with the known face to identify the identity of each face.


Application of face recognition in the field of gates

  • Employees work face gate passage
  • Train station passengers inbound face gate passage
  • Airport face recognition gate channel
  • School face recognition gate channel
  • Scenic face recognition gate channel
  • Cell face recognition gate channel

Advantages of face recognition technology

       Face recognition is a biometric recognition technology based on human facial feature information for identification. Each person's face is composed of forehead, eyebrows, eyes, nose, mouth, cheeks, etc., and the approximate positional relationship between them is also fixed. However, the face is unique. There are no two identical faces in the world. People can usually distinguish different people according to the nuances between different faces.

       Faces have similarities and variability. Different environments, light, angles, and ages all change the imaging of faces. Therefore, face recognition is one of the most difficult research areas in the field of biometrics. Face recognition technology has several advantages such as non-mandatory, non-contact, and concurrency.

       Non-mandatory: the system can obtain face images when the user is unconscious, no special cooperation is required.

       Non-contact: Users do not need to be in direct contact with the device to acquire facial images and extract facial features for detection;

       Concurrency: In the actual application scenario, multiple face sorting, judgment and recognition can be performed simultaneously;

       In addition, there are features such as simple operation, intuitive results, and good concealment.



                                                                                                                                                             (Source: Digital Network)

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