Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets

Dublin Core

Title

Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets

Subject

Artificial Intelligence, COVID 19, Social Distancing, Social distance using Deep learning

Description

Corona Virus Disease (COVID) has so far infected millions of individuals, claiming the lives of tens of thousands. Italy and the United States, two major international powers, are particularly hard hit, with millions of people dead per day. For nations like as India, France, Germany and Spain, Corona has wreaked havoc on the global economy. Throughout the globe, this devastation has been inflicted by this catastrophic virus. After the lockdown limitations have been relaxed, it is necessary to guarantee that social distance is practised at the locations since no treatment has been identified thus far. After the lockdown restrictions were relaxed in countries like India, where fewer instances were recorded, the nation saw an increase in cases. Implementation of social distancing systems is the topic of this study, which employs sophisticated libraries to keep track of the distance between people in real time and implement the system. Deploying deep learning and Raspberry Pi, we want to change the system of social distance by using a small number of sensors to acquire real-time data.
Corona Virus Disease (COVID) has so far infected millions of individuals, claiming the lives of tens of thousands. Italy and the United States, two major international powers, are particularly hard hit, with millions of people dead per day. For nations like India, France, Germany, and Spain, Corona has wreaked havoc on the global economy. Throughout the globe, this devastation has been inflicted by this catastrophic virus. After the lockdown limitations have been relaxed, it is necessary to guarantee that social distance is practiced at the locations since no treatment has been identified thus far. After the lockdown restrictions were relaxed in countries like India, where fewer instances were recorded, the nation saw an increase in cases. Implementation of social distancing systems is the topic of this study, which employs sophisticated libraries to keep track of the distance between people in real-time and implement the system. Deploying deep learning and Raspberry Pi, we want to change the system of social distance by using a small number of sensors to acquire real-time data.

Creator

Smith , Luren

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 28-40
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-05-10

Rights

Copyright (c) 2022 Luren Smith
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Smith , Luren, Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 5, 2024, https://igi.indrastra.com/items/show/2271

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