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https://hdl.handle.net/1822/82457
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Lima, Josilene | por |
dc.contributor.author | Shah, Vaibhav | por |
dc.contributor.author | Varela, M.L.R. | por |
dc.contributor.author | Monteiro, Caetano | por |
dc.contributor.author | Putnik, Goran D. | por |
dc.contributor.author | Machado, José | por |
dc.date.accessioned | 2023-02-03T12:49:25Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Lima, J., Shah, V., Varela, L., Monteiro, C., Putnik, G., Machado, J. (2022). Analysing Impact of the Digitalization on Visual Inspection Process in Smartphone Manufacturing by Using Computer Vision. In: Hamrol, A., Grabowska, M., Maletič, D. (eds) Advances in Manufacturing III. MANUFACTURING 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-00218-2_11 | por |
dc.identifier.isbn | 9783031001666 | por |
dc.identifier.issn | 2195-4356 | - |
dc.identifier.uri | https://hdl.handle.net/1822/82457 | - |
dc.description.abstract | This work shows a case study of the application of data digitalization in visual inspections on smartphone manufacturing, from the context of the need for inspection carried out by humans, in order to analyze its impacts. The impacts of visual stress and fatigue in employees, the technological techniques that can be used through computer vision and artificial intelligence to reduce those impacts in a person, along with the support that digitization can bring to the daily lives of companies and workers are focused in this paper. In this paper is also shown how the digitalization actions were proposed and applied, using a new method for prioritization, along with preliminary results obtained. | por |
dc.description.sponsorship | This work has been supported by national funds through FCT – Fundação para a Ciên cia e Tecnologia within the project ref. UID/CEC/00319/2019 | por |
dc.language.iso | eng | por |
dc.publisher | Springer, Cham | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2019/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Artificial intelligence | por |
dc.subject | Computer vision | por |
dc.subject | Digitalization | por |
dc.subject | Superficial inspections | por |
dc.title | Analysing impact of the digitalization on visual inspection process in smartphone manufacturing by using computer vision | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-00218-2_11 | por |
oaire.citationStartPage | 125 | por |
oaire.citationEndPage | 137 | por |
dc.date.updated | 2023-02-03T12:08:50Z | - |
dc.identifier.doi | 10.1007/978-3-031-00218-2_11 | por |
dc.date.embargo | 10000-01-01 | - |
sdum.export.identifier | 12535 | - |
sdum.journal | Lecture Notes in Mechanical Engineering | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2022_01_15 PaperJosileneLimaEtAl_Manufacturing2022 _final.pdf Acesso restrito! | 795,73 kB | Adobe PDF | Ver/Abrir |