[논문]딥러닝을 활용한 마스크 착용 얼굴 체온 측정 시스템

이민정; 김유미; 임양미

doi:10.9717/kmms.2020.24.2.208

딥러닝을 활용한 마스크 착용 얼굴 체온 측정 시스템
Masked Face Temperature Measurement System Using Deep Learning 원문보기

멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.24 no.2, 2021년, pp.208 - 214

이민정 (IT Media Eng., College of Science and Technology, Duksung Women's University) , 김유미 (IT Media Eng., College of Science and Technology, Duksung Women's University) , 임양미 (IT Media Eng., College of Science and Technology, Duksung Women's University)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (10)

그림 Fig. 1. Flowchart for RGB & Thermal imaging camera system.
그림 Fig. 2. Mask wearing image accuracy test per frame.
표 Table 1. The proposed Face recognition body temperature measurement camera system construction environment.
그림 Fig. 3. The proposed Face recognition body temperature measurement camera system.
그림 Fig. 4. mapping test based on Homography transformation.
그림 Fig. 5. People wearing masks wrong image data learn-ing.
그림 Fig. 6. Django Web Server.
그림 Fig. 7. Kibana Dashboard result.
그림 Fig. 8. Accuracy experiment of people wearing masks wrong image data learning.
표 Table 2. Accuracy test result

참고문헌 (14)

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원문보기 상세보기
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원문보기 상세보기
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