COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks

The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furthermore, the presented system also facilitates a varie...

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Autores principales:	Sharnil Pandya, Anirban Sur, Nitin Solke
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	deep learning sensor-fusion COVID-19 novel corona virus auto-face mask detection auto-thermal scanning Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/d3422a171d6f45f2951ff8f69aeae7ef
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id	oai:doaj.org-article:d3422a171d6f45f2951ff8f69aeae7ef
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spelling	oai:doaj.org-article:d3422a171d6f45f2951ff8f69aeae7ef2021-12-01T16:22:19ZCOVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks2296-256510.3389/fpubh.2021.797808https://doaj.org/article/d3422a171d6f45f2951ff8f69aeae7ef2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.797808/fullhttps://doaj.org/toc/2296-2565The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furthermore, the presented system also facilitates a variety of notifications, such as an alarm, if an individual is not wearing a mask and detects thermal temperature beyond the standard body temperature threshold, such as 98.6°F (37°C). Design/methodology/approach—The presented deep Learning and sensor-fusion-based approach can also detect an individual in with or without mask situations and provide appropriate notification to the security personnel by raising the alarm. Moreover, the smart tunnel is also equipped with a thermal sensing unit embedded with a camera, which can detect the real-time body temperature of an individual concerning the prescribed body temperature limits as prescribed by WHO reports. Findings—The investigation results validate the performance evaluation of the presented smart face-mask and thermal scanning mechanism. The presented system can also detect an outsider entering the building with or without mask condition and be aware of the security control room by raising appropriate alarms. Furthermore, the presented smart epidemic tunnel is embedded with an intelligent algorithm that can perform real-time thermal scanning of an individual and store essential information in a cloud platform, such as Google firebase. Thus, the proposed system favors society by saving time and helps in lowering the spread of coronavirus.Sharnil PandyaAnirban SurNitin SolkeFrontiers Media S.A.articledeep learningsensor-fusionCOVID-19novel corona virusauto-face mask detectionauto-thermal scanningPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep learning sensor-fusion COVID-19 novel corona virus auto-face mask detection auto-thermal scanning Public aspects of medicine RA1-1270
spellingShingle	deep learning sensor-fusion COVID-19 novel corona virus auto-face mask detection auto-thermal scanning Public aspects of medicine RA1-1270 Sharnil Pandya Anirban Sur Nitin Solke COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
description	The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furthermore, the presented system also facilitates a variety of notifications, such as an alarm, if an individual is not wearing a mask and detects thermal temperature beyond the standard body temperature threshold, such as 98.6°F (37°C). Design/methodology/approach—The presented deep Learning and sensor-fusion-based approach can also detect an individual in with or without mask situations and provide appropriate notification to the security personnel by raising the alarm. Moreover, the smart tunnel is also equipped with a thermal sensing unit embedded with a camera, which can detect the real-time body temperature of an individual concerning the prescribed body temperature limits as prescribed by WHO reports. Findings—The investigation results validate the performance evaluation of the presented smart face-mask and thermal scanning mechanism. The presented system can also detect an outsider entering the building with or without mask condition and be aware of the security control room by raising appropriate alarms. Furthermore, the presented smart epidemic tunnel is embedded with an intelligent algorithm that can perform real-time thermal scanning of an individual and store essential information in a cloud platform, such as Google firebase. Thus, the proposed system favors society by saving time and helps in lowering the spread of coronavirus.
format	article
author	Sharnil Pandya Anirban Sur Nitin Solke
author_facet	Sharnil Pandya Anirban Sur Nitin Solke
author_sort	Sharnil Pandya
title	COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
title_short	COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
title_full	COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
title_fullStr	COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
title_full_unstemmed	COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
title_sort	covidsavior: a novel sensor-fusion and deep learning based framework for virus outbreaks
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/d3422a171d6f45f2951ff8f69aeae7ef
work_keys_str_mv	AT sharnilpandya covidsavioranovelsensorfusionanddeeplearningbasedframeworkforvirusoutbreaks AT anirbansur covidsavioranovelsensorfusionanddeeplearningbasedframeworkforvirusoutbreaks AT nitinsolke covidsavioranovelsensorfusionanddeeplearningbasedframeworkforvirusoutbreaks
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COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks

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