Non-contact detection of wrist temperature, sounds warning when abnormal body temperature is detected.
 
Supports the detection of wrist distance, improved temperature measurement accuracy.
 
Quickly confirms personal information and performs body temperature detection.
 
Allows configuration of temperature detection threshold value, and access authority can be configured through temperature detection threshold value.
 
Non-contact wrist temperature detection module, 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 4cm;
 
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 model merge mode are used to reduce false rate and increase 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 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 ofthe base library for a single person;
 
Support video capture, support ONVIF protocol;
 
Support face, card, and QR code authentication to control door open;
 
Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images);
 
Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active.
 
Product Code - UNV0150C0CL - OET-213H-BTS1