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Quality inspection
Industrial Anomaly Detection
A two-stage visual inspection system across 15 industrial product categories.
- defect detection accuracy
- 96%defect detection accuracy
- false positives
- -15%false positives
The problem
On a production line, every false alarm stops a good part and costs time, while a missed defect costs far more.
What I built
- 1
Designed a two-stage system on the MVTec dataset: product classification first, then defect detection per category.
- 2
Served the model through a FastAPI endpoint.
Outcome
92% classification accuracy over 15 product categories and 96% defect detection accuracy.
False positives reduced by 15%.
Looking for an intern with this profile?
I am available for a 6-month internship from February 2027. Write to me and I will send you my CV and answer within 48 hours.
Contact me