Fuzzy Logic Based Viola Jones Fever Detection Method in Thermal Imaging System

Abstract

This paper presents an effective automated fever detection method in thermal imaging system. It utilizes the Viola Jones method for eye detection, mean sample method for canthus region detection and fuzzy logic based for fever classification. It integrates the Viola Jones eye localization method, mean sample canthus region detection method and fuzzy logic based fever classification method into an automated fever detection algorithm to be applied in thermal imaging system on contactless human body temperature measurement. The detailed fever detection algorithm is explained in the paper explain in this paper with proper experimental results. Several conditions have to be fulfilled prior to the fever detection. There should be one person facing the thermal camera and no other external heat-emitting objects in background are captured by thermal camera. Overall, the fever detection method demonstrates 63% of accuracy