Thermal Detection Kiosk

Save $2,300
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Price:
$4,950 $7,250

Description

  • 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℃ 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 3cm
  • 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 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, 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)
Measurement Range 30℃ - 45℃
Measurement Accuracy 0.1℃
Measurement Deviation ≤0.3℃
Measurement Distance 1cm-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
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) 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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