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Face Recognition Access Control Terminal with Digital Temperature Measurement Module
Data Sheet
Code du produit:
Code du produit:
OET-213H-BTM32
Résumé:Product Overview OET-213H-BTM32 digital temperature measurement face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates UNV face recognition technology and non-contact temperature detection technology. The digital temperature measurement module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas.
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 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 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 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 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
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Mississauga, Ontario, L4W 2S7
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