Uniview UNV OET-213H-BTS1-BD

Face Recognition Access Control Terminal with Digital Detection

  • Factory New
Brand: Uniview UNV FireAlarm.com Part #: 38151 Category: Manufacturer Part #: OET-213H-BTS1-BD Tag:


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.


Weight 0.4 lbs

Uniview UNV

Production Status



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


  • 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