Evaluations of Effective on LWIR Micro Thermal Camera IoT and Digital Thermometer for Human Body Temperatures

Netinant, P.; Vasprasert, P.; Rukhiran, M.

Human body temperature detection can be a significant policy for avoiding covid-19 disease spreading in respect of health operations. There are many ways to detect human body temperatures, such as mercury, digital, and infrared thermometers. Internet of Things is widely applied in many aspects, including health care. Many challenging innovations can be studied to enhance temperature monitoring systems. This paper proposes a possible design architecture to implement an IoT Infrared (IR) thermal camera detection. The investigation is performed to observe relative accuracy and distances to detect samples of the human body and object at various temperatures. The LWIR micro thermal camera module is used to detect temperatures comparing to a digital thermometer. The experimentation results show effective detection of IR thermal camera system conditions based on IoT measuring human body temperatures of different distance ranges. However, our research suggests many concerns about using IoT sensors, such as the practical correctness of sensors, types of sensors, and distances of detecting objects. IoT temperature sensors need to be cautiously calibrated to better meet a better effective accuracy compared to a digital thermometer. © 2021 ACM.