Body temperature and face detection at the same time, fast and accurate.
It only takes 20 ms for face tracking and detection, 200 ms for live detection, 150 ms for face feature extraction and 400 ms for face comparison.
Face recognition attendance application.
Open IO signal, Wigan signal, RS485, RS232, TTL URAT signal control.
Support offline use.
It supports offline storage of 5000 face photos and recognition records.
Support for visitors booking, WeChat official account visitors self help appointment, user.
Registration supports access to the card / ID card reader.
Supports 1: n verification and binocular live detection in 1: n mode to prevent photo and video attacks.
In the case of external ID card reading, it supports 1:1 verification, and the recognition pass rate is 99.99% under 1:1 verification.
1: N pattern recognition accuracy is high. When the face database is 5000, the false recognition rate is 1 / 10000 and the pass rate is 99.87%.
Dynamic face detection and tracking recognition algorithm based on video stream is adopted.
Support face recognition, live photo saving.
Support serial port, Wigan output, output content support configuration.
It supports offline LAN device deployment and online HTTP transmission cloud deployment.
It supports IR face detection and light compensation recognition in all black environment.
It supports light compensation at night with the cooperation of photosensitive sensing.
Support external QR code scanner, ID card / IC card reader.
Support screen display content configuration, custom company name.
Support recognition distance configuration.
Support interface docking and customization.