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Plain-English AI definitions

Computer Vision for Quality Control.

Using AI to inspect products visually (catching defects, missing components, wrong configurations) from photos taken with phones or fixed cameras. Faster and more consistent than human visual QC.

In plain English

Computer vision can help inspect product images for visible features, missing components or possible surface defects. It is an aid to a defined inspection process. A photograph cannot reveal every defect, and an AI model cannot certify that a product is safe or compliant.

Calibrated measurement systems and general AI vision solve different problems. Image-based dimensional checks need suitable equipment and calibration. A phone photograph may help flag an apparent issue, but perspective, lighting, resolution and hidden surfaces limit what it can show.

Start with one product type and a clear checklist. Test representative acceptable parts and known defects, including difficult images. Measure missed defects as well as false alarms. Decide which findings need a qualified person to inspect the physical item.

Keep the source photographs and inspection record together. Do not let a confident-looking AI answer silently replace required checks, competent judgement or the final release decision.

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