Physical and software bases of the device operation for remote measurement of human body temperature

Abstract

Abstract A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the control point. To develop the technique, an experimental stand was designed and implemented in a rack with six built-in infrared sensors. To recognize a person with an elevated temperature, an artificial neural network was used in the form of a multilayer perceptron, at the input of which there were IR sensor data. The conducted experiments showed that the trained model based on the F1-metric efficiency of 0.89 to 0.94 determines a person with an elevated temperature.