Abstract
The development of digital tools exploiting computed tomography (CT) data intelligently, in their entirety and in a simple manner is a major challenge for the full deployment of this technology in industrial production control environment. This work aims at developing a pipeline able to detect material discontinuities in metallic parts, in an automated way without human analysis, to classify them according to their nature and to apply criteria resulting from specifications to rule on the acceptance or not of the parts. It exploits the last advances in artificial intelligence data treatment, and it is based on a dedicated processing and visualisation platform that optimizes the handling of large volumes of data.
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