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Machine Learning Paradigm for Internet of Things Applications
book

Machine Learning Paradigm for Internet of Things Applications

by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja, Deepali Gupta
March 2022
Intermediate to advanced
304 pages
7h 38m
English
Wiley-Scrivener
Content preview from Machine Learning Paradigm for Internet of Things Applications

8Deep Learning–Enabled Smart Safety Precautions and Measures in Public Gathering Places for COVID-19 Using IoT

Pradeep Kumar S.1*, Pushpakumar R.1 and Selvakumari S.2

1IT Department, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Morai, India

2ECE Sri Venkateswara Institute of Science and Technology, Tiruvallur, India

Abstract

The security dimensions of public gathering cannot be breached and periodic reporting is compulsory in most public gathering places. The Internet of Things (IoT) serving for human safety is widely used nowadays. This methodology incorporates the safety aspects verification of people were entering and traveling from one place to other public places with very high risk. The suggested approach is working on deep learning concepts verifies the presence of the safety things like mask, gloves, and also help to detect temperature to the public who enter in public places like working environments and open places. A camera is positioned in front of the door, entry door, and then from camera with temperature sensor connected with single-board computer (SBC) verifies the mask and gloves presence by the help of image processing. This project deals on low cost safety precautions that ensure the public safety inside the public gathering places. This device also have the sanitizer sprayer to auto spray when hand placed in front of it. This device includes sensor, Raspberry Pi 3, or any kind of SBC a locking actuators. The public gathering ...

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Publisher Resources

ISBN: 9781119760474Purchase Link