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Artificial Intelligence Detects Errors in Painting

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The Suitable Database for the Painting AI

Another research team eventually analyzed the database using two different machine learning methods. This resulted in a detailed AI behavioral model, which is now capable of identifying potential quality deviations in the painting process at an early stage and determining their causes, the researchers are pleased to report. This allows the painting process to be continuously optimized without the need for manual intervention. According to the experts, the results of these experimental painting processes can also be applied to any other products. Furthermore, the findings are so promising that an additional funding application for a follow-up project has been submitted. If approved, the AI-optimized painting process will be implemented in practice, though industrial cooperation partners are still being sought for this.

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