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ZDIN: VisionAdapt transfer project

AI recognizes critical chips

In the VisionAdapt transfer project, scientists are researching how camera systems and machine learning can make machining production more efficient, safer and more autonomous. The aim is to automatically detect critical chips and adapt machining processes in real time - without human intervention and with greater process reliability.

The recognition of chip shapes is tested on this turning/milling center at the IFW of Leibniz Universität Hannover.
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