UNV – Face Recognition Access Control Terminal – OET-251H-M

MODEL-OET-251H-M
Face Recognition Access Control Terminal

*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, 10,000 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 *Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video *Support face metering and human metering for fast adapting to ambient light *Suggested height for face recognition: between 1.1m and 2.2m,face recognition distance: 0.3m to 2.9 m *Support screen sleep mode, keep the minimum brightness to prevent glare at night *Support add up to 6 photos of the base library for a single person *Support face, card, password authentication to control door open *Built-in 4G EMMC front end storage, stable and reliable, up to30,000 events capacity (with images)Support direct control door lock, exit button, door contact detection to implement access control management *Support tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active