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http://dx.doi.org/10.7471/ikeee.2022.26.3.430

Development of an intelligent camera for multiple body temperature detection  

Lee, Su-In (Dept. of Information and Communication Engineering, Changwon National University)
Kim, Yun-Su (Dept. of Information and Communication Engineering, Changwon National University)
Seok, Jong-Won (Dept. of Information and Communication Engineering, Changwon National University)
Publication Information
Journal of IKEEE / v.26, no.3, 2022 , pp. 430-436 More about this Journal
Abstract
In this paper, we propose an intelligent camera for multiple body temperature detection. The proposed camera is composed of optical(4056*3040) and thermal(640*480), which detects abnormal symptoms by analyzing a person's facial expression and body temperature from the acquired image. The optical and thermal imaging cameras are operated simultaneously and detect an object in the optical image, in which the facial region and expression analysis are calculated from the object. Additionally, the calculated coordinate values from the optical image facial region are applied to the thermal image, also the maximum temperature is measured from the region and displayed on the screen. Abnormal symptom detection is determined by using the analyzed three facial expressions(neutral, happy, sadness) and body temperature values. In order to evaluate the performance of the proposed camera, the optical image processing part is tested on Caltech, WIDER FACE, and CK+ datasets for three algorithms(object detection, facial region detection, and expression analysis). Experimental results have shown 91%, 91%, and 84% accuracy scores each.
Keywords
Thermal Camera; Optical Camera; Embedded System; Deep Learning; Computer Vision;
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Times Cited By KSCI : 1  (Citation Analysis)
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