A production vision system is not just a model. Lighting, optics, mechanics and data quality determine whether the inspection works.
Define the defect
Specify classes, tolerances, false-reject limits and cycle time before training.
Engineer the image
Control lighting, lens, vibration, focus, product position and background before tuning the model.
Build for change
Products change, cameras are cleaned and fixtures move. Monitor image quality and model performance after deployment.
Integrate clearly
Return result, confidence, timestamp, part identity and error state rather than hiding everything in one Boolean tag.
Final takeaway
The engineering value comes from a measurable improvement, explicit boundaries and a design that remains understandable when the system is under pressure.