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

SKU: UN-OET213HBTS1NB

Model #: UN-OET213HBTS1NB

by ENS
  • ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection
  • ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection UN-OET213HBTS1NB by ENS ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection UN-OET213HBTS1NB by ENS
  • ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection UN-OET213HBTS1NB by ENS ENS UN-OET213HBTS1NB UNV Face Recognition Access Control Terminal with Digital Detection UN-OET213HBTS1NB by ENS

SKU: UN-OET213HBTS1NB

Model #: UN-OET213HBTS1NB

Availability: Usually ships the next business day

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Availability: Usually ships the next business day

Availability: Usually ships the next business day

  • Express Checkout:
  • Checkout with PayPal

Product Details

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.

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°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 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

Product Specs

SKU  UN-OET213HBTS1NB
Manufacturer  ENS
Thermal Detection Yes

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