Defect detection on metal surfaces

Problem

Detecting defects on metallic surfaces — in a setting where labelled defect data barely exists.

Approach

I used unsupervised learning and computer vision to model “normal” surfaces and flag deviations, so the system could catch defects it had never explicitly been shown.

Result

My Master’s thesis — unsupervised computer vision applied to a real industrial problem.

Screenshots coming soon.