Temperature Measurement Face Recognition Terminal
|Appearance||Face recognition + Temperature module|
|Shell||FR Terminal: Plastic/ Temperature module: Metal|
|Temperature Measurement||0.1℃ accuracy, 0.3℃ deviation, 1cm-3cm distance|
|Screen||7 inch touch screen|
|Built-in card reader||YES|
|Installation||Wall mountedFloor-stand installation(external bracket required)|
- Safety, no direct contact with the target.
- Small size with high reliability.
- Accurate measurement and support dynamic & static signals detection.
- High efficiency, 20-30 people/min.
- Temperature range: 30℃-45℃
- Temperature accuracy: 0.1℃
- Temperature deviation: 0.3℃
- Measurement distance: 1cm-3cm
- Application situation: Indoor(10℃-45℃), no wind
Highlight Feature – Temperature Measurement
- Real-time temperature detection and screen display.
- High temperature voice alarm.
- Snap photos and overlay temperature OSD information.
- Privacy mode: Only measure wrist temperature, not capturing face image
- Support face recognition with mask.
- UI can indicate whether he/she is wearing a mask or not.
- Voice alarm for those who do not wear a mask.
Why wrist, not forehead?
- More accurate: wrist is in sleeves, that’s better than forehead, especially in winter.
- Easy to measure: arms is much more flexible than head.
- Easy to install: forehead measurement requires temperature module aiming at forehead. But wrist measurement not.
- Require indoor situation. Do not guarantee accuracy at outdoor situation.
- Industry-level infrared sensor, 0.5℃ deviation. Not medical-level product.
- Born for abnormal temperature person preliminary inspect. Medical-level product should re-examine abnormal temperature people after preliminary inspect.
Features and Specification
- Non-contact detection of wrist temperature
- Support body temperature detection
- Deep learning algorithm provides face recognition accuracy rate > 99%, false rate < 1%
- Built-in deep learning supports 10,000 face capacity
- Fastest recognition time 0.2 seconds
- Anti-spoofing detection based on deep learning algorithm.
- Support face metering and human metering
- Support face, card, and QR code authentication to control door open
- Built-in 4G EMMC front end storage
- Tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
|Face Recognition Accuracy Rate||>99%|
|Face Recognition Time||200ms|
|Event Capacity||8,000 (with images)|
|Door Opening Method||Face, Password, QR code, Card|
|Input 12V±25% DC|
|Screen||Touch Screen, Size:7 inch, Resolution: 600×1024|
|Camera||Dual Lens, 2MP, 1080P|
|Dimensions (L×W×H)||For terminal: 134.0mm×33.0mm×305.0mm
For module: 87.0mm×45.0mm×27.0mm
|Protection Level||Both terminal and module: IP 54|
|Application Situation||Indoor, No wind|