Development of heat stroke detection system using image processing techniques

Abstract

This paper presents an approach for a heat stroke detection system by using image processing techniques. In System Design, we use the camera, Web Application, smartphone, and tablet to access the system. In The System Development, the process follows Image acquisition, Image Enhancement, Human Detection, and Temperature Mapping. The experimental results showed that the system can help detect people at risk of heat stroke and can be supported on computer and smartphone platforms. Testing the system with image data from 100 thermal imaging cameras, it was found that the system was 82.5% accurate.