The Internet of Things (IoT) aims to connect physical objects for remote monitoring via the Internet. Given COVID-19's contagious nature, effective detection and prevention are essential. Our work introduces an IoT-based system to prevent individuals with suspected COVID-19 from accessing a facility. The system measures body temperature and checks for mask-wearing. If a high temperature or lack of a mask is detected, entry is blocked and an email notification is sent. This autonomous system minimizes human supervision, is cost-effective, and easily deployable in various settings. By integrating temperature measurement and mask detection, it offers a robust solution to prevent COVID-19 spread, ensuring public health and safety.
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Ms.B. Lakshmi Prasanna currently working as Assistant Professor at the Institute of Aeronautical Engineering Hyderabad in the Department of Electronics and Communication Engineering. I completed my bachelor's in ECE and M.Tech. in Embedded Systems from JNTU Ananthapur. my research includes Image processing, machine learning, embedded systems, IOT.
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Taschenbuch. Zustand: Neu. IOT ENABLED SMART ENTRANCE MONITORING SYSTEM FOR COVID-19 DETECTION | Leveraging Technology for Enhanced Safety and Health Monitoring | B. Lakshmi Prasanna (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207844609 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 129938802
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