Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/82457

TitleAnalysing impact of the digitalization on visual inspection process in smartphone manufacturing by using computer vision
Author(s)Lima, Josilene
Shah, Vaibhav
Varela, M.L.R.
Monteiro, Caetano
Putnik, Goran D.
Machado, José
KeywordsArtificial intelligence
Computer vision
Digitalization
Superficial inspections
Issue date2022
PublisherSpringer, Cham
JournalLecture Notes in Mechanical Engineering
CitationLima, 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
Abstract(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.
TypeConference paper
URIhttps://hdl.handle.net/1822/82457
ISBN9783031001666
DOI10.1007/978-3-031-00218-2_11
ISSN2195-4356
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-031-00218-2_11
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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