Industrial Tomography and Artificial Intelligence: how do they contribute to quality control in Additive Manufacturing?
In the winter edition of Futurities magazine, BlueTensor CEO Jonni Malacarne presents the case study resulting from the partnership with TEC Eurolab, which proves the benefits that the application of Artificial Intelligence can bring to the world of non-destructive testing and, in particular, to Industrial Computed Tomography, in terms of quality, reliability and efficiency.
In fact, TEC Eurolab has developed an innovative and strategic project in synergy with BlueTensor by integrating an artificial intelligence algorithm for image analysis into the inspection process using tomographic scanning. Defect tomographic inspection of a component is performed by manually scrolling through thousands of images by a highly trained operator. Through the algorithm developed by BlueTensor, this process has been automated, increasing its reliability and reducing operator analysis time by 50 percent. However, the operator remains a key figure both for the scanning part of the component and for validating the anomalies identified by the AI, contributing to its periodic re-training.
All this translates into faster, more reliable and objective service, allowing our customers to feel increasingly confident about the quality of their production processes.