Deep learning based mask detection in smart home entries during the epidemic process

dc.contributor.authorCerit, B.
dc.contributor.authorBayir, R.
dc.date.accessioned2024-09-29T16:16:05Z
dc.date.available2024-09-29T16:16:05Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description5th International Conference on Smart City Applications, SCA 2020 -- 7 October 2020 through 8 October 2020 -- Safranbolu -- 167323en_US
dc.description.abstractIn this study, "smart home" systems were designed against Covid-19 virus, which negatively affects life all over the world, and viruses that may become epidemics later. Our homes need to be more hygienic and safe than yesterday. One of these hygiene rules is the masks that cover our nose and mouth. It is very important to use a mask to prevent further spread of the virus. Whether or not the people in smart homes are wearing masks at home will be diagnosed with the deep learning method. Hosts will be warned if they do not have masks. Brightness level control card and illuminator have been added to smart home entrances to better identify people's faces. With PID, the illumination level is fixed at the desired value, and with IOT technology, people can follow the illumination level at the smart home entrance from the mobile application. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.en_US
dc.identifier.doi10.5194/isprs-archives-XLIV-4-W3-2020-159-2020
dc.identifier.endpage163en_US
dc.identifier.issn1682-1750
dc.identifier.issue4/W3en_US
dc.identifier.scopus2-s2.0-85101924803en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage159en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-159-2020
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8847
dc.identifier.volume44en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDeep Learningen_US
dc.subjectIOTen_US
dc.subjectMobile Applicationen_US
dc.subjectPIDen_US
dc.subjectSmart Homeen_US
dc.titleDeep learning based mask detection in smart home entries during the epidemic processen_US
dc.typeConference Objecten_US

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