| dc.description.abstract | One of the main symptom of COVID-19 is fever. In response to this feature, to prevent the spread of the virus, temperature control mechanisms have been set up in public places. In the past, patients with fever have been confirmed to use a forehead thermometer to measure their body temperature. This is not only time-consuming and labor-intensive, but also there may be a risk of infection due to close contact. Some medium and large fields and corporate agencies use infrared thermal imaging cameras to measure temperature in a wide range. However, it is often caused false alarms by interference from other non-face heat sources, and when there are too many people, the supervisor may not be able to take care of it immediately.
This article introduces some concepts and principles of infrared thermal imaging, using a hardware thermal imaging lens to non-contact measurement of human face temperature, adding software research for the two functions of ＂Multi-face motion detection＂ and ＂Temperature compensation correction＂. Optimize the hardware through software to effectively improve the detection accuracy and integrate it into an advanced version of the intelligent thermal system.
Practical setup of the system for data analysis to verify three parameters. The first is that the face detection success rate is greater than 95%, the second is that the non-face temperature false detection rate is less than 5%, and the third is that the standard deviation of distance and temperature σ is less than 0.5°C. The experimental results can accurately capture the body temperature of more than ten dynamic personnel, and actively restrict the entry of people with abnormal body temperature through the alarm function, which could also quickly digest the flow of people in line, and achieve the effect of intelligent epidemic prevention. | en_US |