INT-HTS-BTM32 Face Recognition Access Control Terminal with Digital Temperature Measurement Module

Product Overview

INT-HTS-BTM32 digital temperature measurement face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates face recognition technology and non-contact temperature detection technology.

The digital temperature measurement 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.


  • Safety, no direct contact with the target.
  • Small size with high reliability.
  • Accurate measurement and support dynamic & static signals detection.
  • High efficiency, 20-30 people/min


✓ Temperature range: 30℃-45℃
✓ Temperature accuracy: 0.1℃
✓ Temperature deviation: 0.3℃
✓ Measurement distance: 1cm-4cm (Wrist)
✓ Measurement distance: 1 meter (Forehead)
✓ Application situation: Indoor(10℃-40℃), no wind

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accessory guide

high performance

product features

  • Support non contact detection of wrist temperature, support warning people with abnormal body temperature
  • Support the detection of wrist distance, improve the accuracy of temperature measurement.
  • Support temperature detection and personnel information binding, which can quickly confirm personnel information and do body tem perature detection
  • Support configure temperature detection threshold value, and personnel access authority can be configured through temperature de tection threshold
    value Non contact wrist temperature detection module, 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 4cm
  • Deep learning algorithm model based on independent intellectual property rights, face recognition accuracy rate > 99%, false rat e < 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 c omplex lighting scenes
  • Support anti spoofing detection based on 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 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 indoor monitor
  • Built in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)
  • Support tamper protection, door open timeout and time exceed alarm function to keep door opening during fire alarm active