Automatic Defect Detection System
Undergoing development of an automatic defect detection system in manufactured parts, using convolutional neural networks to detect features in an image while simultaneously generating a high-quality segmentation mask for each instance. Common defects include cavities, pores, lack of penetration, and other type of volumetric defects frequently found in castings and …