Support non-contact detection, support warning people with abnormal body
temperature 16-channel input
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 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 1 meter
Deep learning algorithm model based on D-Link 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 live 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 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
Two-way audio with indoor monitor
Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity
Support tamper protection, door open timeout and time exceed alarm function to keep
door opening during fire alarm active
