UNV Stand Alone Face Recognition device

Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1%
Built-in deep learning dedicated chip, supports local offline recognition, 3,000 face capacity, face whitelist (1? N), 10,000 IC card capacity
Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate
WDR, 2MP (1080P) low illumination wide-angle camera for capturing high quality image with various complex lighting scenes
Supports anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video
Face metering and human metering for fast adapting to ambient light
Suggested height for face recognition: between 0.8m and 2.2m,face recognition distance: 0.2m to 2 m
Device supports screen sleep mode, keep the minimum brightness to prevent glare at night
You can add up to 6 photos of the base library for a single person Support video capture, support ONVIF protocol
Supports face recognition, card reader and password authentication to control door opening
Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images)
Direct control door lock, exit button, door contact detection to implement access control management
Also supports tamper protection, door opening timeout, time exceeding alarm, keeping door opening while fire alarm active