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http://dx.doi.org/10.9717/kmms.2020.24.2.208

Masked Face Temperature Measurement System Using Deep Learning  

Lee, Min Jeong (IT Media Eng., College of Science and Technology, Duksung Women's University)
Kim, Yoo Mi (IT Media Eng., College of Science and Technology, Duksung Women's University)
Lim, Yang Mi (IT Media Eng., College of Science and Technology, Duksung Women's University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.2, 2021 , pp. 208-214 More about this Journal
Abstract
Since face masks in public were mandated during COVID-19, more people have taken temperature checks, with their masks on. The study has developed a contactless thermal camera that accurately measures temperatures of people wearing different kinds of masks, detect people wearing masks wrong, and record the temperature data. The built-in system that identifies people wearing masks wrong is what masks our contactless thermal camera differentiated from other thermal cameras. Also our contactless thermal camera can keep track of the number of mask wearers in different regions and their temperatures. Thus, the analysis of such regional data can significantly contribute to stemming the spread of the virus.
Keywords
Deep Learning; Face Recognition; Detect Wearing Mask; Temperature Check; Contactless System;
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