ABSTRACT
A non-contact thermometer is a device that can measure the temperature of the human body without making physical contact. During the Covid-19 pandemic, many crowd centers implemented health protocols by checking body temperature. Therefore, a device is needed to detect body temperature. In previous studies, non-contact thermometers used low-resolution thermal cameras which resulted in not being able to detect mass temperatures and inaccurate readings. In this study, a non-contact thermometer system uses an 80x60 pixel LWIR (Long Wave Infrared) thermal camera and a pi camera to read real-Time human body temperature. The image is processed so that this system only detects body temperature on the face. This system has an output in the form of a human image along with the temperature on the face displayed on the monitor, and there is a warning in the form of a buzzer if there are people who have a temperature above the specified limit. The Lepton 2.5 FLIR (forward looking infrared) thermal camera can optimally read temperatures at a distance of 0.5 meters to 2.5 meters. The temperature reading accuracy of the FLIR Lepton 2.5 thermal camera reaches 98.1%. Temperature readings on the FLIR Lepton 2.5 thermal camera have no effect on light intensity and thermal noise. © 2021 IEEE.