Uniview UNV OET-213H-BTS1-BD

Description

OET-213H-BTS1-BD digital detection 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 detection 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.

Additional information

Weight	0.4 lbs
Brand	Uniview UNV
Production Status	Active

Resources

OET-213H-BTS1-BDFace Recognition Access Control Terminal with Digital Detection Module
^{Uniview – Data Sheet}

Features

Supports non-contact detection of wrist temperature, support warning people with abnormal body temperature
Supports the detection of wrist distance, improve the accuracy of temperature measurement
Supports body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
Supports 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°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 0.3°C, 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
Supports 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
Supports screen sleep mode, keep the minimum brightness to prevent glare at night
Supports add up to 6 photos of the base library for a single person
Supports video capture, support ONVIF protocol
Supports 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)
Supports tamper protection, supports door open timeout and time exceed alarm function to keep door opening during fire alarm active

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Uniview UNV OET-213H-BTS1-BD

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