UNV OET-231KH@TF

Face Recognition Terminal Product Features:

• 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
• Support 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 2m
• Support screen sleep mode, keep the minimum brightness to prevent glare at night
• Add up to 6 photos of the base library for a single person
• Support video capture, support ONVIF protocol
• Unit supports face, card, password authentication to control door open
• Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images)
• Support direct control door lock, exit button, door contact detection to implement access control management
• Tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active