UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107062


Registration ID:
311844

Page Number

a512-a517

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Title

A Web Application for Social Distancing Monitoring and Data Analysis

Abstract

The ongoing COVID-19 coronavirus outbreak has become a serious concern causing a global disaster with its deadly spreading. Due to the inadequacy of effective remedial agents and the shortage of vaccinations against the virus, the population is endangered, and continually the vulnerability increases. In the current situation, social distancing is an adequate precaution to tackle the spread of the pandemic virus. The risks of spreading this virus can be minimized by avoiding physical contact among people. In this paper, we propose a web-based system that could help administrators of a public place in monitoring social distancing. Administrators can register themselves on our platform, add their cameras to our platform and get a detailed analysis of social distancing for all the cameras installed on their premises on a dashboard. We used a hybrid Computer Vision and YOLOv4-based Deep Neural Network (DNN) model called DeepSocial for automated people detection in the crowd in indoor and outdoor environments using common CCTV security cameras. An alert is sent to the registered camera admins in case if the social distancing is severely violated. Additionally, we developed a plugin tool, which can be added to the website of an organization if the organization has registered on our system. The plug-in tool displays real-time social distancing data of organization premises and gives an idea of the safety of the premises to the probable visitors.

Key Words

social distancing, COVID-19, human detection and tracking, distance estimation, deep convolutional neural networks, crowd monitoring, web application, IP camera

Cite This Article

"A Web Application for Social Distancing Monitoring and Data Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a512-a517, July-2021, Available :http://www.jetir.org/papers/JETIR2107062.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Web Application for Social Distancing Monitoring and Data Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa512-a517, July-2021, Available at : http://www.jetir.org/papers/JETIR2107062.pdf

Publication Details

Published Paper ID: JETIR2107062
Registration ID: 311844
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: a512-a517
Country: Burhanpur, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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