The Principle of Subway Face Recognition Gate Nov 24, 2020

In recent years, with the increasing application of face recognition gates, many office buildings, train stations and other places with high crowds use face recognition to compare gates. Face recognition channel gates can not only quickly compare incoming and outgoing employees, but also effectively Improved site safety and traffic efficiency. Let's understand the principle of face recognition gates in subway stations.

The principle of the facial recognition gate: when entering and exiting the gate, the facial information of the staff passing through the gate is first collected through the face recognition camera, and then compared with the staff information in the system database. If the facial recognition comparison passes, and the gate opening signal is sent to the gate system, pedestrians can pass through the gates. If there is no face information of the passing staff in the database, they can pass by swiping cards. If an employee breaks in illegally, the gate will automatically lock the gate and give an alarm. If there is a trailing situation, the gate will turn on a red light and give an alarm. For anti-retrograding, after face recognition, if there is an employee on the other side, the gate will be automatically closed and locked.

The face recognition system can also retain face recognition results, provide statistical analysis functions, and display on-site face recognition conditions and query recognition results on the screen. In addition, it can also realize the company's work attendance and site staff technical functions.

A simple overview of the working principle of the face recognition gate is: The condition is that the face recognition system is embedded in the gate in the form of a module, and a camera is installed on the face gate. When the staff in the passageway passes through the gate, the front-end camera collects the face image or video stream of the passing staff, the system automatically detects and tracks the face in the image or dynamic video, and uses a series of related technologies to locate and detect the quality of the collected images. Finally, the pictures obtained on the spot will be cross-compared with the extracted ID card information to ensure the consistency and legitimacy between the holder and the certificate. Then, according to the comparison result, determine whether the gate swing is open or not. If the comparison is successful, the staff can pass. If the comparison is unsuccessful, the face recognition gate will not be opened.