Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19

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dc.authorid0000-0003-3672-1865en_US
dc.authorid0000-0002-7201-6963en_US
dc.authorid0000-0003-1840-9958en_US
dc.contributor.authorKaraman, Onur
dc.contributor.authorAlhudhaif, Adi
dc.contributor.authorPolat, Kemal
dc.date.accessioned2023-06-22T06:15:05Z
dc.date.available2023-06-22T06:15:05Z
dc.date.issued2021en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.descriptionScientific and Technological Re-search Council of Turkey (TuBTAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))en_US
dc.description.abstractIn this work, an artificial intelligence network-based smart camera system prototype, which tracks social distance using a bird’s-eye perspective, has been developed. ‘‘MobileNet SSD-v3’’, ‘‘Faster-RCNN Inception-v2’’, ‘‘Faster-R-CNN ResNet-50’’ models have been utilized to identify people in video sequences. The final prototype based on the Faster R-CNN model is an integrated embedded system that detects social distance with the camera. The software developed using the ‘‘Nvidia Jetson Nano’’ development kit and Raspberry Pi camera module calculates all necessary actions in itself, detects social distance violations, makes audible and light warnings, and reports the results to the server. It is predicted that the developed smart camera prototype can be integrated into public spaces within the ‘‘sustainable smart cities,’’ the scope that the world is on the verge of a changeen_US
dc.description.sponsorshipScientific and Technological Re-search Council of Turkey (TuBTAK) [120E124]en_US
dc.identifier.citationKaraman, O., Alhudhaif, A., & Polat, K. (2021). Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19. Applied Soft Computing, 110, 107610.en_US
dc.identifier.doi10.1016/j.asoc.2021.107610
dc.identifier.endpage11en_US
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.pmid36569211en_US
dc.identifier.scopus2-s2.0-85108787629en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.asoc.2021.107610
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11172
dc.identifier.volume110en_US
dc.identifier.wosWOS:000713098900021en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorPolat, Kemal
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.tubitak[120E124]
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCorona Virus (COVID-19)en_US
dc.subjectDeep Learningen_US
dc.subjectConvolutional Neural Network (CNN)en_US
dc.subjectComputer Visionen_US
dc.subjectCoronavirusen_US
dc.subjectWuhanen_US
dc.titleDevelopment of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19en_US
dc.typeArticleen_US

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