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http://dx.doi.org/10.6109/jkiice.2022.26.2.193

The Use of Haar Cascade Result selection algorithm to check Wearing Masks and Fever Abnormality  

Kim, Eui-Jeong (Department of Computer Education, Kongju University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.2, 2022 , pp. 193-198 More about this Journal
Abstract
Recently, place that you need to check wearing mask and body temperature to prevent the proliferation of COVID-19 increased. But these things often measured by man manually or by machine one by one, result may be different by measuring ways, so it wastes workforce. Also, the machine generally just measures the highest temperature of the face, criteria for fever can't be trusted too. A bottleneck may occur due to crowding of people at the entrance, and because most of the measurement sites are at one entrance, it is inconvenient to track the movement of COVID-19 Confirmed cases. Thus, in this study, we intend to propose a method for suppressing the spread of infection by automatically classifying and displaying in real time using camera, thermal camera, Haar Cascade, and result selection algorithm.
Keywords
A.I; COVID-19; Haar Cascade; Image recognition; Programming;
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