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.
Restful API for 3rd Party Software Integration
Restful API interface includes:
- Device info, database info, etc.
- Create database, delete database.
- Add people to database, delete people from database.
- Records real-time upload, including captured image.
- Temperature information and whether he/she is wearing a mask
Typical Application Scenario
By automatic face recognition and temperature measurement process, this solution could be applied in various scenarios, such as school, enterprise, community, super market, shopping mall, construction sites and bank, etc.
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|