AUTOMATION OF NON-CONTACT MEASUREMENT OF HUMAN BODY TEMPERATURE BASED ON AN ARTIFICIAL NEURAL NETWORK
A method of automated control of human temperature in public places is proposed, which allows the identification of people with elevated temperature without delay at the control point. For the development of the methodology, an experimental stand was developed, implemented in the form of a rack with six built-in infrared sensors. To recognize a person with an elevated temperature, an artificial neural network (ANN) in the form of a multilayer perceptron was used, at the input of which there were data from IR sensors. The experiments showed that the trained model based on the F1-metric with an efficiency of 0.89 to 0.94 determines a person with an elevated temperature.