Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/82457

TítuloAnalysing impact of the digitalization on visual inspection process in smartphone manufacturing by using computer vision
Autor(es)Lima, Josilene
Shah, Vaibhav
Varela, M.L.R.
Monteiro, Caetano
Putnik, Goran D.
Machado, José
Palavras-chaveArtificial intelligence
Computer vision
Digitalization
Superficial inspections
Data2022
EditoraSpringer, Cham
RevistaLecture Notes in Mechanical Engineering
CitaçãoLima, 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
Resumo(s)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.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/82457
ISBN9783031001666
DOI10.1007/978-3-031-00218-2_11
ISSN2195-4356
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-031-00218-2_11
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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2022_01_15 PaperJosileneLimaEtAl_Manufacturing2022 _final.pdf
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