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Data-driven optical quality inspection and optimization within automated manufacturing processes

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Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
This study presents an intelligent, digital-twin-driven device that leverages computer vision, machine learning (ML), and genetic algorithms as a cyber-physical system (CPS) to achieve high-quality products—benchmarks that companies must strive for in the ...