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Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study

2024Texto Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorSilva, José
dc.contributor.authorCoelho, Pedro
dc.contributor.authorSaraiva, Luzia
dc.contributor.authorMartins, Pedro
dc.contributor.authorLópez-Rivero, Alfonso
dc.date.accessioned2026-03-11T09:08:22Z
dc.date.available2026-03-11T09:08:22Z
dc.date.issued2024
dc.description.abstractEffective quality control is crucial in industrial manufacturing for influencing efficiency, product dependability, and customer contentment. In the constantly changing landscape of industrial production, conventional inspection methods may fall short, prompting the need for inventive approaches to enhance precision and productivity. In this study, we investigate the application of smart glasses for real-time quality inspection during assembly processes. Our key innovation involves combining smart glasses’ video feed with a server-based image recognition system, utilizing the advanced YOLOv8 model for accurate object detection. This integration seamlessly merges mixed reality (MR) with cutting-edge computer vision algorithms, offering immediate visual feedback and significantly enhancing defect detection in terms of both speed and accuracy. Carried out in a controlled environment, our research provides a thorough evaluation of the system’s functionality and identifies potential improvements. The findings highlight that MR significantly elevates the efficiency and reliability of traditional inspection methods. The synergy of MR and computer vision opens doors for future advancements in industrial quality control, paving the way for more streamlined and dependable manufacturing ecosystems.por
dc.identifier.citationSilva, J., Coelho, P., Saraiva, L., Vaz, P., Martins, P., & López-Rivero, A. (2024). Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study. Applied Sciences, 14(5), 1850. https://doi.org/10.3390/app14051850
dc.identifier.doihttps://doi.org/10.3390/app14051850
dc.identifier.eissn2076-3417
dc.identifier.urihttp://hdl.handle.net/10400.19/9731
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationCentre for Research in Digital Services
dc.relation.hasversionhttps://www.mdpi.com/2076-3417/14/5/1850
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectquality inspection
dc.subjectsmart manufacturing
dc.subjectobject detection
dc.subjectcomputer vision
dc.titleValidating the Use of Smart Glasses in Industrial Quality Control: A Case Studypor
dc.typetext
dspace.entity.typePublication
oaire.awardNumberUIDB/05583/2020
oaire.awardTitleCentre for Research in Digital Services
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05583%2F2020/PT
oaire.citation.issue5
oaire.citation.startPage1850
oaire.citation.titleApplied Sciences
oaire.citation.volume14
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSilva
person.givenNameJosé
person.identifier.ciencia-id4A14-D3E7-5B32
person.identifier.orcid0000-0001-7285-8282
person.identifier.scopus-author-id55447844100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicatione9d8719e-af47-4008-b854-817801bb3964
relation.isAuthorOfPublication.latestForDiscoverye9d8719e-af47-4008-b854-817801bb3964
relation.isProjectOfPublicationa2335235-05b4-404c-a71e-cc37ae7fbf2c
relation.isProjectOfPublication.latestForDiscoverya2335235-05b4-404c-a71e-cc37ae7fbf2c

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