딥러닝을 활용한 마스크 착용 얼굴 체온 측정 시스템

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 reco...

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Bibliographic Details
Published in멀티미디어학회논문지 Vol. 24; no. 2; pp. 208 - 214
Main Authors 이민정(Min Jeong Lee), 김유미(Yoo Mi Kim), 임양미(Yang Mi Lim)
Format Journal Article
LanguageKorean
Published 한국멀티미디어학회 2021
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Summary: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.
Bibliography:KISTI1.1003/JNL.JAKO202106763002094
ISSN:1229-7771
2384-0102