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An augmented reality intelligent guide for the automotive industry

2024Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorPereira, Francisco
dc.contributor.authorPatrício, Manuel
dc.contributor.authorLopes, Rui Pedro
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-02-18T16:47:56Z
dc.date.available2026-02-18T16:47:56Z
dc.date.issued2024
dc.description.abstractThroughout the 21st century, there has been a rise in interest of increasing inter-connectivity and smart automation in the realms of industrial production, often called the 4th Industrial Revolution. Thus, interest in areas such as virtual, mixed, and augmented reality has increased as new devices and technologies related to these areas are seen as a possible solution to increase Industrial efficiency, create safer work environments for employees, and more effective training. In this project, a HoloLens app was developed, capable of identifying and showing to the user various zones where a specific vehicle in a production line requires checking and in which users have full spatial perception. Each vehicle is composed of several zones and each of these zones is associated with specific stations in a sequential order, so the user will only be able to see the zones associated with the station that is being treated. Using a specific “gesture” users can change the zone’s status in the database to indicate that the zone has been checked. These changes will be visible and the vehicle, stations, and zones will be updated to reflect the modifications. Various scripts in C# and PHP were used to allow modifications to the behaviour of the objects and database in the augmented reality scene through the access to a RESTful service in Unity.eng
dc.description.sponsorshipThis work has been supported by EU HEurope openZDM within the Project Scope: open Platform for Realizing Zero Defects in Cyber Physical Manufacturing (101058673 - OPENZDM - HORIZON-CL4-2021-TWIN-TRANSITION-01).
dc.identifier.citationPereira, Francisco; Patrício, Manuel; Lopes, Rui Pedro; Leitão, Paulo (2024). An augmented reality intelligent guide for the automotive industry. In Proceedings of the 14th Conference on Learning Factories 2024. Cham: Springer Nature. 2, p.197-204. DOI: 10.1007/978-3-031-65400-8
dc.identifier.doi10.1007/978-3-031-65400-8_23
dc.identifier.isbn978-3-031-65399-5
dc.identifier.isbn978-3-031-65400-8
dc.identifier.urihttp://hdl.handle.net/10198/35788
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation101058673
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.ispartofLearning Factories of the Future
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAugmented reality
dc.subjectFourth industrial revolution
dc.subjectMicrosoft hololens
dc.subjectVuforia
dc.titleAn augmented reality intelligent guide for the automotive industrypor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2024
oaire.citation.endPage204
oaire.citation.startPage197
oaire.citation.title14th Conference on Learning Factories 2024
oaire.citation.volume2
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameLopes
person.familyNameLeitão
person.givenNameRui Pedro
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-id8E14-54E4-4DB5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-9170-5078
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id35584388900
relation.isAuthorOfPublicatione1e64423-0ec8-46ee-be96-33205c7c98a9
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscoverye1e64423-0ec8-46ee-be96-33205c7c98a9

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