Software Development For Temperature Measurement By An Infrared Camera Using An Image Processing Technique

Abstract

To develop a program to measure the temperature of the human body based on spectral color analysis from a thermal camera. Methods: the color intensity of spectrum thermography analysis was employed. The focus was on the spectral colors of red and green colors. The results of the software proficiency gathering from the measurement of 5 temperature ranges consisted of 10 images per range, 50 images in total. Findings: The findings revealed the  precision of the datasets; dataset 1, at 36 °C was 90%; dataset 2, at 37°C was 90%; dataset 3, at 38°C was 90%; dataset 4, at 39°C was 90% and; dataset 5, at 40°C was 90%. The average accuracy was 90% and the precision was 90%.