The face recognition blacklist early warning system is a system specially for the personnel entering and exiting the public security card. The front-end camera transmits the captured face pictures to the back-end face comparison analyzer through the network, and compares with the face blacklist database in real time. When suspicious personnel are found, the system automatically sends out alarm signals and informs the duty personnel or values by various linkage methods Class police. The system integrates the functions of capturing, transmitting, storing, extracting and analyzing human face features, automatic alarm and network control, and has powerful background data processing functions such as query and retrieval, powerful communication and networking functions, which can be widely used in pedestrian monitoring at important levels.
The system integrates the functions of detection, capture, weight removal, transmission and storage of HD face images, extraction and analysis of face features, automatic alarm and Internet control. This scheme includes two recognition methods for blacklist face control
One is front-end integrated equipment, which collects face images and compares them with local blacklist in real time. When the target personnel in the blacklist is found, the number of the personnel and the scene picture are sent back to the service platform of the command center for police officers to identify. If it is true, the police officer will send the photo to the handheld device or client of the relevant front-line police officer.
The other is network equipment. The front-end collects video stream, transmits video to the streaming media server inside the public security through optical terminal machine. The cluster server processes the current video in real time, grabs all the faces in the video, and compares it with the massive black name list of the central server. If the blacklist is found, the alarm will be sent to the command center platform and all the others Client, handled by front-line police.
The system integrates the functions of detection, capture, weight removal, transmission and storage of HD face images, extraction and analysis of face features, automatic alarm and Internet control. This scheme includes two recognition methods for blacklist face control
One is front-end integrated equipment, which collects face images and compares them with local blacklist in real time. When the target personnel in the blacklist is found, the number of the personnel and the scene picture are sent back to the service platform of the command center for police officers to identify. If it is true, the police officer will send the photo to the handheld device or client of the relevant front-line police officer.
The other is network equipment. The front-end collects video stream, transmits video to the streaming media server inside the public security through optical terminal machine. The cluster server processes the current video in real time, grabs all the faces in the video, and compares it with the massive black name list of the central server. If the blacklist is found, the alarm will be sent to the command center platform and all the others Client, handled by front-line police.
That is to say, the control of black and white list of face recognition greatly improves the security of public transport environment and prevents the public from thieves. It improves public security and social happiness。
