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COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
Symbiosis International (Deemed) University, India.ORCID iD: 0000-0002-4507-1844
Symbiosis International (Deemed) University, India.
Symbiosis International (Deemed) University, India.
2021 (English)In: Frontiers in Public Health, E-ISSN 2296-2565, Vol. 9, article id 797808Article in journal (Refereed) Published
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages
Abstract [en]

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.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2021. Vol. 9, article id 797808
National Category
Public Health, Global Health, Social Medicine and Epidemiology Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science; Health and Caring Sciences, Health Informatics
Identifiers
URN: urn:nbn:se:lnu:diva-119170DOI: 10.3389/fpubh.2021.797808ISI: 000729897700001PubMedID: 34917585Scopus ID: 2-s2.0-85121275778OAI: oai:DiVA.org:lnu-119170DiVA, id: diva2:1735229
Available from: 2023-02-08 Created: 2023-02-08 Last updated: 2024-09-04Bibliographically approved

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Pandya, Sharnil

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