Deep Learning Strategies for Industrial Surface Defect Detection Systems

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dc.contributor.authorMartin, Dominik
dc.contributor.authorHeinzel, Simon
dc.contributor.authorKunze Von Bischhoffshausen, Johannes
dc.contributor.authorKühl, Niklas
dc.date.accessioned2021-12-24T17:27:08Z
dc.date.available2021-12-24T17:27:08Z
dc.date.issued2022-01-04
dc.description.abstractDeep learning methods have proven to outperform traditional computer vision methods in various areas of image processing. However, the application of deep learning in industrial surface defect detection systems is challenging due to the insufficient amount of training data, the expensive data generation process, the small size, and the rare occurrence of surface defects. From literature and a polymer products manufacturing use case, we identify design requirements which reflect the aforementioned challenges. Addressing these, we conceptualize design principles and features informed by deep learning research. Finally, we instantiate and evaluate the gained design knowledge in the form of actionable guidelines and strategies based on an industrial surface defect detection use case. This article, therefore, contributes to academia as well as practice by (1) systematically identifying challenges for the industrial application of deep learning-based surface defect detection, (2) strategies to overcome these, and (3) an experimental case study assessing the strategies' applicability and usefulness.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.146
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79478
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectdeep learning
dc.subjectdesign science research
dc.subjectindustry 4.0
dc.subjectsurface defect detection
dc.titleDeep Learning Strategies for Industrial Surface Defect Detection Systems
dc.type.dcmitext

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