arXiv cs.CV
· Papers
A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear)
arXiv:2607.16288v1 Announce Type: new Abstract: Quality control in smart manufacturing increasingly relies on data-driven methods, particularly deep learning, to automate the inspection of manufactured parts. Recent advances in three-dimensional (3D) metrology have enabled fine-scale assessment of dimensional accuracy,