UNV Face Recognition Access Control Terminal with Digital Detection

Description

Features

• Support non-contact detection of wrist temperature, support warning people with abnormal body temperature
• Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
• Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
• Non-contact wrist temperature detection module, the measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 3cm
• 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)
• Fastest recognition time 0.2 seconds, various models merge mode are used to reduce the false rate and increase the pass rate
• WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high-quality image with various complex lighting scenes
• Support anti-spoofing detection based on the 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 0.8m and 2.2m, face recognition distance: 0.2m to 2.9m
• 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 video capture, support ONVIF protocol
• Support face, card, password, and QR code authentication to control door open