Non-Contact Temperature Measurement Applicable for Covid-19

Abstract

Infrared thermometers, thermal imaging cameras, and thermal scanners are now being used as a substitute to conventional contact clinical thermometers during the COVID-19 pandemic emergency to assess body temperature fast and contactless. Technical-scientific literature itself occasionally offers contradicting reference values on the body and skin temperatures of healthy persons, and the limitations and problems of noncontact temperature monitoring instruments are not widely understood. National authorities have made it mandatory to take a worker's body temperature at the entry to the workplace in order to reduce the danger of infection. In order to I increase the accuracy of body temperature readings, the authors of this work examine noncontact body temperature measurement concerns from both the clinical and metrological points of view, (ii) calculate the measurement uncertainty of body temperature in the field; (iii) provide a screening decision rule for the control of COVID-19. The methodology used in this study takes into account both conventional instrumental sources of uncertainty and clinical-medical sources connected to the subjectivity of the measurand. In order to pick the threshold temperature value and measuring technique for crucial locations during the COVID-19 pandemic emergency, a good screening strategy for body temperature measurement taking the role of uncertainty is needed. With the use of non-contact temperature measurement, it is possible to determine a body's surface temperature without making direct physical touch with the temperature sensor. It is based on an optical examination of the infrared light that the measuring item emits. Through the use of a lens, this radiation is directed onto a detector, which converts it into an electrical signal. Signal processing can then be used to transform this into an output size proportionate to the object temperature.