Part Identification via CAD without ML Model Retraining
A new innovative method enables the automatic identification of 3D printed parts directly using CAD models, without the need to retrain machine learning models. Developed by KU Leuven, Materialise, and Iristick, the system leverages geometric representations and few-shot learning techniques to classify new parts quickly and efficiently, reducing times and











