Automated Hardware and Software Intelligent System for Infrared Thermometry

This article presents an automated system for infrared thermography of biological tissues. The purpose of the system development is to provide noninvasive and rapid temperature measurements of biological tissues. The system is based on the principles of infrared thermography and uses an infrared sensor to record the temperature of biological tissue. The temperature information is then used to identify areas of tissue with abnormally high or low temperatures, which provides valuable diagnostic information. The system is also capable of creating heat maps of biological tissues, which are used for further intelligent analysis of temperature distribution. Finally, the performance of the system is evaluated in terms of accuracy and speed. The accuracy of binary classification of thermometric data using a neural network reaches 87.2 percent.