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2MWTK Non-contact Wrist Temperature and Face Recognition Screening System

  • Automatic temperature measurement
  • Accurate temperature measurement
  • Real-time alarm of people with fever
  • Real-time snapshot of human face during temperature measurement
  • Support no mask reminder

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2MWTK’s 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 2M’s 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.

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, measurement range is between 30°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 3°C, and measurement distance is between 1cm to 3cm
  • Deep learning algorithm model based on 2M Technology’s 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 6 large aperture lens for capturing high quality image with various complex lighting scenes
  • Supports anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video
  • Face and people metering for fast adapting to ambient light
  • Suggested height for face recognition: between 8m and 2.2m, face recognition distance: 0.2m to 2.9m
  • Screen sleep mode, keep the minimum brightness to prevent glare at night
  • Add up to 6 photos of the base library for a single person
  • Video capture, support ONVIF protocol
  • Supports 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 30,000 events capacity (with images)
  • Tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
Weight 8 lbs
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°C – 45°C
Measurement Accuracy 0.1°C
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
Power Consumption <25W
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) 134.0 x 33.0 x 305.0 (mm)