LLNL Pairs Machine Learning with Cameras to Catch DIW Defects Early

LLNL Pairs Machine Learning with Cameras to Catch DIW Defects Early

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a camera-based inspection system that uses AI and machine learning (ML) to check 3D printed parts while they are still being made. Existing ML approaches for monitoring additive manufacturing (AM) processes have focused mainly on detecting and classifying defects, rather than measuring a part’s actual geometry…