Access control terminal with digital module and face recognition

Product Overview

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 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.

  

Product Features

  •   Support face, card, password and QR code authentication to control door open
  • •  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, 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 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 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 - (WDR = Wide Dynamic Range)
  • •  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 2.2mface 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
  • •  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, support door open timeout and time exceed alarm function to keep door
       opening during fire alarm active
  • •  GDPR compatible
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Description : Wall-mounted - Access control terminal with digital module and face recognition

Reference : X900019

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Description : Floor-stand mount - Access control terminal with digital module and face recognition

Reference : X900020

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Product specification

Operation System                                               Linux
Face Recognition Accuracy Rate                       >99%
Face Recognition Time200ms
Face Capacity10,000
Card Capacity100,000
Storage Capacity4GB
Event Capacity8,000 (with images)
Measurement Range30°C to 45°c
Measurement Accuracy0.1°C
Measurement Deviation                                                                     ≤0.3℃
Measurement Distance1cm - 3cm
Authentication Mode

Face Whitelist∶ (1∶ N)
Card:(1:N)
Face +Body temperature
Mask Detection

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 

ScreenTouch Screen, Size:7-inch, Resolution: 600×1024 
CameraDual Lens, 2MP, 1080P 
Supplement LightLED soft light and infrared light 
Dimensions (LxWxH)For terminal: 134.0mm×33.0mm×305.0mm 
Working Environment

For terminal: −20℃-65℃, Relative Humidly<95% (non-condensing)
For module:15℃-30℃

Protection Level

Both terminal and module : IP 54

Application Situation

Indoor, No wind

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Access control terminal with digital module and face recognition

Access control terminal with digital module and face recognition

Product Overview

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 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.

  

Product Features

  •   Support face, card, password and QR code authentication to control door open
  • •  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, 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 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 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 - (WDR = Wide Dynamic Range)
  • •  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 2.2mface 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
  • •  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, support door open timeout and time exceed alarm function to keep door
       opening during fire alarm active
  • •  GDPR compatible
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