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

SKU: UN-OET213HBTS

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

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Categories: SKU: UN-OET213HBTS

Features

  • 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

Specification

Features Parameter Description
Operation System Linux
Face Recognition Accuracy Rate 99
Face Recognition Time 200ms
Face Capacity 10,000
Card Capacity 100,000
Storage Capacity 4GB
Event Capacity 30,000 (with images)
Measurement Range 30℃ – 45℃
Measurement Accuracy 0.1℃
Measurement Deviation 0.3℃
Measurement Distance 1cm-3cm
Authentication Mode Face Whitelist (1 N)
Card:(1:N)
Face +Body temperature
Door Opening Method Face, Password, QR code, Card
Communication Mode 10/100Mbps adaptive network port
Card Type Mifare 1 Card
User Management Support user library addition, deletion, update
Record Management Support local recording and real-time upload
Interface LAN 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 Supply Input 12V 25  DC
Screen Touch Screen, Size:7 inch, Resolution: 600×1024
Camera Dual Lens, 2MP, 1080P
Supplement Light LED soft light and infrared light
Dimensions (L W H) For terminal : 134.0mm 33.0mm 305.0mm
Working Environment For terminal: 20 65 , Relative Humidly 95  (non-condensing)
Protection Level Both terminal and module: IP 54
Application Situation Indoor, No wind
Weight 6 kg

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