The face recognition blacklist early warning system is a set of system specially for monitoring the personnel entering and leaving the security checkpoint. The front-end camera transmits the captured face pictures to the back-end face comparison analyzer through the network, and makes real-time comparison with the face blacklist database. When suspicious personnel are found, the system automatically sends out the alarm signal, and uses various linkage methods to inform the on duty personnel or values Class police. The system integrates many functions, such as the capture, transmission and storage of high-definition face image, the extraction, analysis and recognition of face features, automatic alarm and networking control. It has powerful background data processing functions such as query and retrieval, and powerful communication and networking functions. It can be widely used in pedestrian monitoring of important checkpoints.
The system integrates many functions such as detection, capture, de duplication, transmission and storage of high-definition face image, extraction, analysis and recognition of face features, automatic alarm and network control. This scheme includes two recognition methods for blacklist face control:
One is the front-end integrated device, which collects face images and compares them with the local blacklist in real time. When it is found that there is a target person in the blacklist, the number of the person and the on-site picture will be sent back to the command center service platform for the police personnel to identify. If it is true, the police officer will send the picture to the handheld device or client of the relevant front-line police officers.
The other is network equipment. The front end collects the video stream, transmits the video stream to the streaming media server inside the public security through the optical terminal. The cluster server processes the current returned video in real time, grabs all the faces in the video, and compares them with the massive blacklist of the central server. If any blacklist personnel are found, the alarm information will be sent to the command center platform and all the blacklists The client is handled by the front-line police.
That is to say, the control of black and white list of face recognition greatly improves the safety of public transportation environment, so that the masses avoid thieves. It improves public security and social well-being.