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Iot Enabled Smart Entrance Monitoring System for Covid-19 Detection
Paperback

Iot Enabled Smart Entrance Monitoring System for Covid-19 Detection

$66.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
23 July 2024
Pages
56
ISBN
9786207844609

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
23 July 2024
Pages
56
ISBN
9786207844609