Question

A manufacturing quality-control model classifies product defects from images captured by factory-floor cameras. It performed well in production for six months. After the plant replaced all its cameras with a new higher-resolution model, engineers notice the defect classifier's precision has dropped sharply, though the physical products and defect types are unchanged. Ground-truth labels from manual inspection confirm the degradation is real. What is the MOST likely cause, and how should you address it?

Accepted Answer

Data (feature/input) drift caused by a shift in the image distribution from the new cameras; collect and label images from the new cameras and retrain the model on the updated input distribution.

Answer

Concept drift has occurred because the relationship between defects and images changed; retrain using only the most recent labels without investigating the input data.

Answer

Training-serving skew from a preprocessing bug; roll back the serving container to the previous version to restore accuracy.

Answer

The model is overfitting; add regularization and reduce model capacity, then redeploy without new data.