Optimization quality control through ML in plastic industry

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Unfortunately, even "in spec" parts are evaluated as bad

However, for industrial series production, this value is still too low, the Cologne team has to admit. Because the disadvantage of this threshold value method is that there is slightly more production scrap in quality control. It has been found that dirt particles, which in most cases pose no risk to the technical process, are still seen by the algorithm as an anomaly. Further research is needed here. In a follow-up project, the findings will now be deepened and transferred to other industrial applications.

More about the project and the industry partners

The project was carried out under the leadership of Prof. Dr. Anja Richert from the Cologne Cobots Lab of TH Cologne. The consortium leader SHS plus GmbH dealt with the optimization of processes, product quality and efficiency in plastic processing. And Sentin GmbH is a company specialized in software tools with artificial intelligence for non-destructive testing (NDT) and industrial inspections—for example image evaluations. The project was funded by the Federal Ministry of Education and Research and the German Aerospace Center as the project sponsor within the framework of the "KMU-innovativ" initiative with 897,126 euros over three years.

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Date: 08.12.2025

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