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AI & computer vision

Planning an AI visual inspection project

A useful inspection project begins with a visible, consistently defined defect and representative production images.

Yahyou Enterprises · Technical learning series

Define the decision

Document what passes, what fails and what requires manual review. Include borderline examples and changing product presentations.

Make image capture repeatable

Review lighting, reflections, focus, camera mounting and motion. Poor image consistency can undermine even a well-trained model.

Measure the trade-offs

Evaluate false accepts and false rejects on unseen samples. Confirm response time, reject mechanisms and how the system will be monitored as products change.

Prepare your project brief

Bring samples, current output, target output, available space and utilities. Include quality expectations and the conditions that make your process difficult.

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