• 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 ParameterDescription
Operation SystemLinux
Face Recognition Accuracy Rate>99%
Face Recognition Time200ms
Face Capacity10,000
Card Capacity100,000
Storage Capacity4GB
Event Capacity8,000 (with images)
Measurement Range30℃-45℃
Measurement Accuracy0.1℃
Measurement Deviation≤0.3℃
Measurement Distance1cm-4cm
Authentication ModeFace Whitelist: (1:N)
Card:(1:N)
Face +Body temperature + Mask Detection
Door Opening MethodFace, Password, QR code, Card
Communication Mode10/100Mbps adaptive network port
Card TypeMifare1 Card
User ManagementSupport user library addition, deletion, update
Record ManagementSupport local recording and real-time upload
InterfaceLAN×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 SupplyInput 12V±25% DC
Power ConsumptionTerminal: 10W
Module: 756mW
WeightTerminal: 641g
Module: 131g
ScreenTouch Screen, Size:7 inch, Resolution: 600×1024
CameraDual Lens, 2MP, 1080P
Supplement LightLED soft light and infrared light
Dimensions (L×W×H)For terminal: 134.0mm×33.0mm×305.0mm
For module: 87.0mm×45.0mm×27.0mm
Working EnvironmentFor terminal: -20℃-65℃, Relative Humidly<95% (non-condensing)
For module: 10℃-40℃
Protection LevelBoth terminal and module: IP 54
Application SituationIndoor, No wind