A Low-Cost High-Accuracy Thermal Camera Using Off-the-shelf Hardware Devices

The Covid-19 pandemic is spreading worldwide, the demand for controlling and screening fever is increasing very rapidly. Some traditional methods like using thermometers or medical checking cannot handle many people in crowded areas such as airports, train stations, or buildings. Some thermal imaging systems are used to control people’s ins and outs. These systems help many governments decrease and prevent viruses’ spread by screening human temperature based on skin radiation. Despite all of the advantages this technology has had, this system’s very high cost is one reason to prevent some organizations from applying it despite the high potential of image processing, artificial intelligence, and the Internet of Things. This paper will present a system combining a low-cost thermal camera and a standard RGB camera for screening fever combined with attendance checking. The experimental results show that this proposed system can be applied in many areas, from universities to buildings, with the minimum cost and acceptable performance.