Sistem IoT Protokol Kesehatan Depan Toko Menggunakan Raspberry Pi Camera dan Haar Cascade Classifier

Storefront Health Protocol IoT System Using Using Raspberry Pi Camera and Haar Cascade Classifier

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.