Build an image inspection workflow around the defects your quality team knows. Review examples, train a candidate, and measure what it misses before changing your process. Start with a single product or repeatable check.
A team checks deliveries for visible damage. An initial project can focus on one product and one recognizable defect, with a person reviewing the flagged images.
Illustrative scenario, not a customer result.Choose a visible issue with a clear operational consequence: a missing component, a damaged surface, or an incorrectly assembled part. Define the camera view and the action a prediction would trigger. An initial project is easier to evaluate when it targets one stable inspection point.
A model learns from the distinctions in its training data. Ask inspectors to annotate the same sample independently and discuss disagreements. Use image-level labels for an overall pass or review decision; use object locations when the team needs to see where the issue occurs.
Overall accuracy can conceal missed defects when most parts are acceptable. Track missed faults and false alarms separately. Evaluate on new production batches and agree on a review threshold with operations before considering integration into an inspection station.
Start by evaluating a specific inspection task with your quality team. Some defects are not visible in an image, and changing production conditions can affect results. A pilot should establish where predictions are useful and which decisions still require human inspection.