Face capture and tracking
Face recognition camera can monitor all the face and sent real-time detection. In the monitoring area, it will automatically track the face, capture multi-angle face images, and compare to the high quality assessment to capture a clearest facial archive and identify.
Facial feature extraction and comparison
Face recognition camera uses AI face visual recognition algorithm. The use of convolution neural network mechanism can quickly capture the face features and compare the face characteristics with the device’s or cloud server’s face database to prevent to upload junk data transmission, use cloud server data and computing performance.
Face attributes structure
Face attributes such as gender, age, objects (glasses and masks), facial expressions and other structural identification to output face information flow (eigenvalue, base map, time information).
push the judgment result of face recognition to agent’s third-party software; push the face information to the APP or the background.
Through the mobile APP can view all the terminal’s real-time screen remotely. When find exceptions, it can save screenshots.
Within the monitoring range of the equipment terminal, you can specify a small area to enable the detection alarm function.
Infrared night vision
low illumination and wide dynamic, intelligent infrared night vision, less than 5lux automatically turn on the night vision (adjustable accuracy).