Reichenstein T, Raffin T, Sand C, Franke J (2022)
Publication Type: Journal article
Publication year: 2022
Original Authors: Tobias Reichenstein, Tim Raffin, Christian Sand, Jörg Franke
Book Volume: 112
Pages Range: 596-601
DOI: 10.1016/j.procir.2022.09.058
The implementation of machine vision based quality inspection systems increases productivity and reduces human error during visual inspection, thus improving product quality. During the planning process of these inspection systems, case studies are executed to evaluate and ensure applicability, which so far has been an iterative and inefficient process due to the lack of existing methodologies and guidelines. Therefore, this paper presents a holistic approach for efficiently executing case studies to plan and implement machine vision based quality inspection systems in production. An evaluation via an industrial use-case resulted in a significantly quicker planning process.
APA:
Reichenstein, T., Raffin, T., Sand, C., & Franke, J. (2022). Implementation of Machine Vision based Quality Inspection in Production: An Approach for the Accelerated Execution of Case Studies. Procedia CIRP, 112, 596-601. https://doi.org/10.1016/j.procir.2022.09.058
MLA:
Reichenstein, Tobias, et al. "Implementation of Machine Vision based Quality Inspection in Production: An Approach for the Accelerated Execution of Case Studies." Procedia CIRP 112 (2022): 596-601.
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