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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
I Gede Putu Wirarama Wedashwara
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Computer Science & IT

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Storefront Health Protocol IoT System Using Using Raspberry Pi Camera and Haar Cascade Classifier I Gede Bagus Wirawan; I Gede Putu Wirarama Wedashwara; Ahmad Zafrullah Mardiansyah
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 1 (2022): June 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i1.411

Abstract

The Covid-19 health protocol is a regulation by government to feel safer doing activities during Covid-19 pandemic. Generally, spread of Covid-19 occurs in public places, one of which is a shop. By building an IoT tool that is expected to be able to detect early on the potential for someone to contract Covid-19 by detecting body temperature and mask when entering a store. Shop owners can see people who have the potential for Covid-19 and customers who are wrong/not wearing masks, using IoT functions to send data between sensors so that shop owners can monitor website-based systems. From the test results, the success rate of tools and algorithms is 78.38% of data that successfully detects temperature and masks, then there are 29.62% of data that fail to detect masks and temperatures. The data is then recorded in a JSON file which will be displayed into a website-based information system.
Co-Authors Ahmad Zafrullah Mardiansyah I Gede Bagus Wirawan