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, measurement range is between 30â to 45â, measurement accuracy can reach 0.1â, measurement deviation is less than or equal to 0.3â, and measurement distance is between 1cm to 3cm.
Face recognition accuracy rate is 99%, false rate is 1%.
Built-in deep learning dedicated chip supports local offline recognition, 5,000 face capacity.
Fastest recognition time 0.2 seconds.
Screen Size is 7â.
DWDR, 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 3 photos of the base library for a single person Support video capture, support ONVIF protocol
Support face, card and password authentication to control door open Two-way audio with indoor monitor
Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (without images) and 4,000 events capacity (with images).
Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active