In addition to the face recognition function, the new face recognition swipe card machine of Mcking has also added a variety of functions, including black-and-white list control.
The face recognition blacklist early warning system is a set of special monitoring system for 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 conducts real-time comparison with the face blacklist database. When a suspicious person is found, the system automatically sends out an alarm signal and notifies the duty personnel or value by various linkage methods Class police. The system integrates the capture, transmission and storage of high-definition face image, extraction and analysis of face features, automatic alarm and network control, etc., and 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 at important checkpoints.
The system integrates the detection, capture, de duplication, transmission and storage of high-definition face image, extraction and analysis of face features, automatic alarm and network control, etc. the scheme includes two recognition methods for blacklist face configuration
One is the front-end integrated device, which collects the face image and compares it with the local blacklist in real time. When the target person in the blacklist is found, the number of the person and the scene picture will be sent back to the command center service platform 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.
The other is a networked device, which collects video stream at the front end, transmits the video stream to the streaming media server inside the Public Security Bureau through the optical transceiver. The cluster server processes the current returned video in real time, grabs all the faces in the video, and compares it with the massive black list of the central server. If any blacklist personnel are found, the alarm information will be sent to the command center platform and all departments The client is handled by the front-line police.
In other words, the control of face recognition black-and-white list greatly improves the safety of public transport environment, so that the masses can avoid thieves. It improves public security and social well-being.
The face recognition blacklist early warning system is a set of special monitoring system for 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 conducts real-time comparison with the face blacklist database. When a suspicious person is found, the system automatically sends out an alarm signal and notifies the duty personnel or value by various linkage methods Class police. The system integrates the capture, transmission and storage of high-definition face image, extraction and analysis of face features, automatic alarm and network control, etc., and 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 at important checkpoints.
The system integrates the detection, capture, de duplication, transmission and storage of high-definition face image, extraction and analysis of face features, automatic alarm and network control, etc. the scheme includes two recognition methods for blacklist face configuration
One is the front-end integrated device, which collects the face image and compares it with the local blacklist in real time. When the target person in the blacklist is found, the number of the person and the scene picture will be sent back to the command center service platform 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.
The other is a networked device, which collects video stream at the front end, transmits the video stream to the streaming media server inside the Public Security Bureau through the optical transceiver. The cluster server processes the current returned video in real time, grabs all the faces in the video, and compares it with the massive black list of the central server. If any blacklist personnel are found, the alarm information will be sent to the command center platform and all departments The client is handled by the front-line police.
In other words, the control of face recognition black-and-white list greatly improves the safety of public transport environment, so that the masses can avoid thieves. It improves public security and social well-being.
