Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets

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, Coron...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of interactive mobile technologies 2022-05, Vol.16 (9), p.28-40
1. Verfasser: Smith, Luren
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 40
container_issue 9
container_start_page 28
container_title International journal of interactive mobile technologies
container_volume 16
creator Smith, Luren
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.
doi_str_mv 10.3991/ijim.v16i09.30161
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_3991_ijim_v16i09_30161</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_3991_ijim_v16i09_30161</sourcerecordid><originalsourceid>FETCH-LOGICAL-c112t-bca750c2a5ab068c25e5396100484dbd2782cb0c1198aef2f9e6f8da0ffafc923</originalsourceid><addsrcrecordid>eNpNkM1qwzAQhEVpoSHNA_TmF7CrH0uWjibpTyCkh6ZnI8sro-A4QVIK6dPXdnLoXmaHHQb2Q-iZ4IwpRV7c3h2yHyIcVhnDRJA7NCNS8LRQlN3_2x_RIoQ9HoaRnFM8Q7vSR2edcbpL1n2ErnMt9AYm03odoUm-jtN55ULUvXF9m5S97i6_4JNzGO0K4JRs4eyH1BZieEIPVncBFjedo--3193yI918vq-X5SY1hNCY1kYXHBuqua6xkIZy4EwJgnEu86ZuaCGpqfEQVlKDpVaBsLLR2FptzfDOHJFrr_HHEDzY6uTdQftLRXA1kqlGMtWVTDWRYX9Ks1mf</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Smith, Luren</creator><creatorcontrib>Smith, Luren</creatorcontrib><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.</description><identifier>ISSN: 1865-7923</identifier><identifier>EISSN: 1865-7923</identifier><identifier>DOI: 10.3991/ijim.v16i09.30161</identifier><language>eng</language><ispartof>International journal of interactive mobile technologies, 2022-05, Vol.16 (9), p.28-40</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Smith, Luren</creatorcontrib><title>Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets</title><title>International journal of interactive mobile technologies</title><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.</description><issn>1865-7923</issn><issn>1865-7923</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpNkM1qwzAQhEVpoSHNA_TmF7CrH0uWjibpTyCkh6ZnI8sro-A4QVIK6dPXdnLoXmaHHQb2Q-iZ4IwpRV7c3h2yHyIcVhnDRJA7NCNS8LRQlN3_2x_RIoQ9HoaRnFM8Q7vSR2edcbpL1n2ErnMt9AYm03odoUm-jtN55ULUvXF9m5S97i6_4JNzGO0K4JRs4eyH1BZieEIPVncBFjedo--3193yI918vq-X5SY1hNCY1kYXHBuqua6xkIZy4EwJgnEu86ZuaCGpqfEQVlKDpVaBsLLR2FptzfDOHJFrr_HHEDzY6uTdQftLRXA1kqlGMtWVTDWRYX9Ks1mf</recordid><startdate>20220510</startdate><enddate>20220510</enddate><creator>Smith, Luren</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220510</creationdate><title>Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets</title><author>Smith, Luren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c112t-bca750c2a5ab068c25e5396100484dbd2782cb0c1198aef2f9e6f8da0ffafc923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, Luren</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of interactive mobile technologies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smith, Luren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets</atitle><jtitle>International journal of interactive mobile technologies</jtitle><date>2022-05-10</date><risdate>2022</risdate><volume>16</volume><issue>9</issue><spage>28</spage><epage>40</epage><pages>28-40</pages><issn>1865-7923</issn><eissn>1865-7923</eissn><abstract>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.</abstract><doi>10.3991/ijim.v16i09.30161</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1865-7923
ispartof International journal of interactive mobile technologies, 2022-05, Vol.16 (9), p.28-40
issn 1865-7923
1865-7923
language eng
recordid cdi_crossref_primary_10_3991_ijim_v16i09_30161
source EZB-FREE-00999 freely available EZB journals
title Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T10%3A22%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artificial%20Intelligence%20Integrated%20Social%20Distancing%20Analyzer%20using%20Deep%20Neural%20Nets&rft.jtitle=International%20journal%20of%20interactive%20mobile%20technologies&rft.au=Smith,%20Luren&rft.date=2022-05-10&rft.volume=16&rft.issue=9&rft.spage=28&rft.epage=40&rft.pages=28-40&rft.issn=1865-7923&rft.eissn=1865-7923&rft_id=info:doi/10.3991/ijim.v16i09.30161&rft_dat=%3Ccrossref%3E10_3991_ijim_v16i09_30161%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true