Machine Learning for the Defection of Cast Wheel X-ray Defect (Shrinkage-based Porosity)

The method is based on:

M. Ferguson, R. Ak, S. Jeong and K. H. Law, “Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning“, Smart and Sustainable Manufacturing Systems. 2018.

The method and the code are applied to an aluminum wheel manufactured by the low pressure die casting process.

Inference

Link of the notebook:

https://nbviewer.jupyter.org/github/JunOu/ml_wheel_xray_defect/blob/master/inference_jun.ipynb