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Leveraging WebGL for Interactive and Real-Time Data Visualization through Digital Shadows in Automotive Industry

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMoreira, André
dc.contributor.authorBarbosa, José
dc.contributor.authorTavares, Rogério Júnior Correia
dc.contributor.authorCunha, Carlos R.
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-05-12T08:22:22Z
dc.date.available2026-05-12T08:22:22Z
dc.date.issued2025
dc.description.abstractThe rise of Industry 4.0 and the increase of data captured, as well as its diversification, has intensified the need for advanced data visualization methods that support this volume of information, real-time monitoring and decision-making in industrial manufacturing environments. Traditional dashboards, while widely adopted, often rely on static 2D representations that lack spatial context, limiting their effectiveness in scenarios where complex and three-dimensional physical objects, such as vehicles, are involved. To address this gap, this work presents a WebGLbased module integrated into a dashboard system to enhance the visualization of data captured in vehicle production lines. The proposed module leverages interactive 3D models, designed as digital shadows of the physical counterpart, to provide a more intuitive and immersive understanding of the production state. This system establishes seamless bidirectional communication between the dashboard and the WebGL module, enabling realtime updates and user interactions, while the data captured in the industrial manufacturing workstations by methods such as geometric measuring systems and sensors is mapped to the 3D model, allowing overseers to identify measurement points and potential defects with improved clarity. Based on the combination of interactive visualization with rule-based monitoring, the system supports the pursuit of zero-defect manufacturing. This work contributes with a replicable use case of integrating WebGL into dashboards for industrial applications, highlighting both technical implementation and practical benefits.eng
dc.description.sponsorshipThis work was partially supported by the HORIZON-CL4-2021-TWIN-TRANSITION-01 openZDM project, under Grant Agreement No. 101058673.
dc.identifier.citationMoreira, A.; Barbosa, J.; Tavares, R.; Cunha, C. R.; Leitao, P.(2025). Leveraging WebGL for Interactive and Real-Time Data Visualization through Digital Shadows in Automotive Industry. International Conference on Engineering and Emerging Technologies, ICEET. Kuala Lumpur:Institute of Electrical and Electronics Engineers Inc.ISSN 2409-2983
dc.identifier.doi10.1109/iceet67911.2025.11424056
dc.identifier.issn2409-2983
dc.identifier.urihttp://hdl.handle.net/10198/36617
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relationCentro de Investigação em Digitalização e Robótica - UID/05757/2025
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relation.ispartof2025 International Conference on Engineering and Emerging Technologies (ICEET)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectWebGL
dc.subject3D Scanning
dc.subject3D Models
dc.subjectData Visualization
dc.subjectDigital Shadows
dc.subjectIndustry 4.0
dc.titleLeveraging WebGL for Interactive and Real-Time Data Visualization through Digital Shadows in Automotive Industryeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUID/05757/2025
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleCentro de Investigação em Digitalização e Robótica - UID/05757/2025
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIhttps://doi.org/10.54499/UID/05757/2025
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.conferenceDate2025
oaire.citation.conferencePlaceKuala Lampur
oaire.citation.title11th International Conference on Engineering and Emerging Technologies, ICEET 2025
oaire.fundingStreamAvaliação UID 2023/2024
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMoreira
person.familyNameBarbosa
person.familyNameTavares
person.familyNameCunha
person.familyNameLeitão
person.givenNameAndré
person.givenNameJosé
person.givenNameRogério Júnior Correia
person.givenNameCarlos R.
person.givenNamePaulo
person.identifier609187
person.identifier412755
person.identifierR-001-NSC
person.identifierA-8390-2011
person.identifier.ciencia-id9F19-60C9-1A54
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.ciencia-idD313-03F2-8462
person.identifier.ciencia-id2316-5664-FF6F
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-6253-6615
person.identifier.orcid0000-0003-3151-6686
person.identifier.orcid0000-0001-9366-2617
person.identifier.orcid0000-0003-3085-1562
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridA-5468-2011
person.identifier.ridH-2007-2012
person.identifier.ridH-2678-2014
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id55549871100
person.identifier.scopus-author-id57202512811
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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