Face Recognition Access Control Terminal with Digital Detection Module

•  Supportnon-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 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℃ 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 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 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 complex 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, 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 ofthe base library for a single person

   Support video capture, support ONVIF protocol

   Support face, card, and QR code authentication to control door open

   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

  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	8,000(with images)；30,000(without images)
  Authentication Mode	Face Whitelist∶ (1∶ N)
  	Card:(1:N)
  	Face +Body temperature + Mask Detection
  Door Opening Method	Face, Password, Card
  Communication Mode	10/100Mbps adaptive network port
  Card Type	Mifare1 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
  Power Consumption	Terminal: 10W Module: 756mW
  Weight	Terminal:641g Module: 131g
  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)	Forterminal: 134.0mm×33.0mm×305.0mm For module: 87.0mm×45.0mm×27.0mm
  Working Environment	For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing) For module: 10℃-40℃
  Protection Level	Both terminal and module: IP 54
  Application Situation	Indoor, No wind