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2021 | OriginalPaper | Chapter

Surveillance System for Monitoring Social Distance

Authors : Sahil Jethani, Ekansh Jain, Irene Serah Thomas, Harshitha Pechetti, Bhavya Pareek, Priyanka Gupta, Venkataramana Veeramsetty, Gaurav Singal

Published in: Advanced Computing

Publisher: Springer Singapore

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Abstract

In the light of recent events, an epidemic - COVID-19 which took the world by surprise and continues to grow day by day. This paper describes an idea to control the spread of disease by monitoring Social Distancing. As of now from where we stand, the only way to avoid further spreading is to maintain proper social distance. Combining the advanced detection algorithms such as SSD, YOLO v4, and Faster-RCNN along with pedestrian datasets we reached the desired conclusion of calculating the distance between two detected persons in a video and identifying whether the social distancing norm is followed or not. This method can be implemented in CCTV’s, UAV’s, and on any other surveillance system. The rapid advancements in technologies led to more precise and accurate values.

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Title: Surveillance System for Monitoring Social Distance
Authors: Sahil Jethani
Ekansh Jain
Irene Serah Thomas
Harshitha Pechetti
Bhavya Pareek
Priyanka Gupta
Venkataramana Veeramsetty
Gaurav Singal
Publisher: Springer Singapore
Book: Advanced Computing
Print ISBN: 978-981-16-0400-3

Electronic ISBN: 978-981-16-0401-0

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-16-0401-0_8

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