Directions for Optimizing the Process of Obtaining and Processing Thermograms Using a Mobile Application

Abstract

Thermography is an advanced diagnostic method widely used in various fields, including medicine, engineering, and industrial applications. With the increasing use of mobile applications in diagnostics, optimising thermographic analysis for mobile platforms has become a significant area of research. This paper examines the key aspects of thermographic imaging, including the principles of infrared radiation detection, image processing techniques, and integrating thermal data into mobile applications. Special attention is given to the challenges of mobile implementation, such as hardware limitations, real-time processing, and accuracy in temperature measurement. Additionally, the study explores potential solutions, including AIbased image enhancement, cloud-based computing, and optimised algorithms for efficient thermal data analysis. The findings highlight the importance of balancing computational efficiency with diagnostic accuracy to ensure the reliability and effectiveness of mobile thermography applications.