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UNV Face Recognition Access Control Terminal with Digital Detection | UN-OET213HBTS1NB

Face recognition access control terminal with a digital detection module, including 1PC UN-OET213H face recognition access control terminal and 1PC OEP-BTS1-NB digital detection module

Published On: 11/11/2021Categories: , , SKU: UN-OET213HBTS


  • 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, the 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 models merge mode are used to reduce the false rate and increase the 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 the 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 an indoor monitor
  • Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images)
  • Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active


Features ParameterDescription
Operation SystemLinux
Face Recognition Accuracy Rate99
Face Recognition Time200ms
Face Capacity10,000
Card Capacity100,000
Storage Capacity4GB
Event Capacity30,000 (with images)
Measurement Range30℃ – 45℃
Measurement Accuracy0.1℃
Measurement Deviation0.3℃
Measurement Distance1cm-3cm
Authentication ModeFace Whitelist (1 N)
Face Body temperature
Door Opening MethodFace, Password, QR code, Card
Communication Mode10/100Mbps adaptive network port
Card TypeMifare 1 Card
User ManagementSupport user library addition, deletion, update
Record ManagementSupport local recording and real-time upload
InterfaceLAN 1, Wiegand Input 1, Wiegand Output 1, RS485 1, Alarm Input 2, Alarm Output 1, USB2.0 1, Lock 1, Door Contact 1, Exit Button 1
Power SupplyInput 12V 25  DC
ScreenTouch Screen, Size:7 inch, Resolution: 600×1024
CameraDual Lens, 2MP, 1080P
Supplement LightLED soft light and infrared light
Dimensions (L W H)For terminal : 134.0mm 33.0mm 305.0mm
Working EnvironmentFor terminal: 20 65 , Relative Humidly 95  (non-condensing)
Protection LevelBoth terminal and module: IP 54
Application SituationIndoor, No wind

6 lbs



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