Computer Science > Machine Learning
[Submitted on 23 Sep 2022]
Title:Smart Active Sampling to enhance Quality Assurance Efficiency
View PDFAbstract:We propose a new sampling strategy, called smart active sapling, for quality inspections outside the production line. Based on the principles of active learning a machine learning model decides which samples are sent to quality inspection. On the one hand, this minimizes the production of scrap parts due to earlier detection of quality violations. On the other hand, quality inspection costs are reduced for smooth operation.
Submission history
From: Clemens Heistracher [view email][v1] Fri, 23 Sep 2022 08:06:29 UTC (504 KB)
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