In nature, everything above absolute zero (minus 273 degrees Celsius) radiates electromagnetic waves, aka thermal infrared. The thermal infrared capture is captured by infrared detector, and the infrared thermal image can be formed by processing and transforming the signal. When epidemic disease occurs, temperature detection becomes the most commonly used method in epidemic control. Infrared and Thermal imaging system combined with IoT and artificial intelligence is the most commonly used for rapid detection and screening of groups in crowd-intensive areas.

Infrared binocular cameras are the most important hardware in infrared thermal imaging systems. Usually they are installed in the pedestrian flow channel or key monitoring area. They can automatically measure the temperature of multiple targets from a long distance without contacting the person to be measured and will not affect traffic. In terms of software, it is necessary to combine the background signal processing, data analysis, and trajectory analysis capabilities to perform screening, early warning, situation analysis, and data presentation on the body temperature of the detection crowd.

The following are the main technical parameters for a typical thermal imager

  • Infrared resolution: 120x90
  • Temperature range: 20 c to 50 degrees C
  • Temperature accuracy: .5 degrees C
  • Visible: 2 megapixels
  • Recommended distance: 1m-1.5m
  • Suitable environment: indoor without wind

Infrared Resolution 120 × 90 Pixel size 17μm Thermal sensitivity (NETD) Field of view 50 ° ± 1

Visible light Resolution 1920 × 1080 (2 million pixels) Focal length 2.8 mm Field of View Horizontal Field of View 97.4 Frame rate 25Hz

Temperature measurement Temperature measurement range 20 ℃ -50 ℃ Accuracy: ±0.5℃ (distance of 1.0 ~ 1.5m, temperature range of 32-42 0.5 ℃)

Interface RJ45 Power interface Host and server interfaces One network interface RJ45

Power supply Input voltage DC 12V Input power ≤12W

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