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Smart Access Control System
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TCP 7" AI Fever Screening Thermometer Face Recognition 20W
Contact me for free samples and coupons.
Whatsapp:0086 18588475571
Wechat: 0086 18588475571
Skype: sales10@aixton.com
If you have any concern, we provide 24-hour online help.
xModel | DB-02T | Voltage | DC12V |
---|---|---|---|
User Capacity | 22400 | Record Capacity | 1,000,000 |
Face Recognition Time: | <0.3S | Detection Rang: | 0.5-3m |
Temperature Detection Distance | <=0.5m | Detection Minimum Unit | 0.1℃ |
Communication: | TCP/IP,WIFI | Working Temperature | -15℃ - +60℃ |
High Light | 7" AI Fever Screening Thermometer,TCPAI Fever Screening Thermometer,20W Face Recognition Thermal Camera |
7 Inch AI Fever Screening Digital Thermometer Body Temperatures Scanner Thermal Camera With Face Recognition
Parameters
Processor | Hi3516DV300 |
Temperature Range | 30-45(℃) |
Operating System | Linux operating system |
Temperature Accuracy | ±0.3(℃) |
Storage | 16G EMMC |
Temperature Measurement Distance | ≤0.5m |
Response | <300ms |
Lens | 6mm |
Equipment Size | 123.5 (W) * 84 (D) * 361.3(H) mm |
Power Supply | DC 12V/3A |
Equipment Power | 20W(MAX) |
Working Temperature | -15℃ - +60℃ |
Face Recognition Distance | 0.5-3m |
Recognition Time | < 500ms |
Storage | Support 22,400 face comparison library an 100,000 face recognition records |
Main Specifications
Technical parameter
1. Non-contact automatic body temperature detection, brush human face and perform high-precision infrared human temperature acquisition at the same time, fast and high effect
2. Temperature measurement range 30-45 (℃) Accuracy ± 0.3 (℃)
3. Automatically identify unmasked personnel and provide real-time warning
4. Support temperature data SDK and HTTP protocol docking
5. Automatically register and record information, avoid manual operation, improve efficiency and reduce missing information
6. Support binocular live detection
7. Unique face recognition algorithm to accurately recognize faces, face recognition time <500ms
8. Support human motion tracking exposure in strong backlight environment, support machine vision optical wide dynamic ≥80dB
9. Adopt Linux operating system for better system stability
10. Rich interface protocols, support SDK and HTTP protocols under multiple platforms such as Windows / Linux
11. 7-inch IPS HD display
12. IP34 rated dust and water resistant
13. MTBF> 50000 H
14. Support 22400 face comparison library and 100,000 face recognition records
15. Support one Wiegand input or Wiegand output
16. Supports fog through, 3D noise reduction, strong light suppression, electronic image stabilization, and has multiple white balance modes, suitable for various fields
Scene demand
1. Support electronic voice broadcast (normal human body temperature or super high alarm, face recognition verification
results)
2. -15 ℃ to + 60 ℃ environment long-term stable work
Dimension Diagram
Precautions
Interface specification:
Smart face recognition access control series
- The temperature measuring device should be used in a room with a room temperature between 10 ℃ -40 ℃. Do not
install the temperature measuring device under the vent, and ensure that there is no heating source within 3 meters;
- Personnel entering the room from a cold outdoor environment will affect the temperature measurement accuracy. The
forehead temperature test should be performed after the forehead is unobstructed for three minutes and the temperature is
stable;
- The temperature read by the temperature measuring device is the temperature in the forehead area. When there is water,
sweat, oil or thick makeup on the forehead or the elderly have more wrinkles, the read temperature will be lower than the
actual temperature. Make sure there is no hair or clothing covering this area.