/answers/how-to-inspect-paint-and-coating-finishes-with-computer-vision/index.md · 42 lines
---
title: "How to inspect paint and coating finishes with computer vision"
description: "Train a model on the plant own images of painted and coated parts, taken under steady lighting, so it can mark likely runs, sags, drips, dust or dirt specks, bare spots, scratches and uneven gloss. Each mark points to the part and the spot on its surface, so a trained inspector can look closely and decide whether to pass, touch up or recoat it. The model only flags parts and spots worth a second look; it never passes a part on its own, and the existing finish standards and sign-off steps stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-paint-and-coating-finishes-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a manufacturer use computer vision to check painted or coated parts?
Train a model on the plant own images of painted and coated parts, taken under steady lighting, so it can mark likely runs, sags, drips, dust or dirt specks, bare spots, scratches and uneven gloss. Each mark points to the part and the spot on its surface, so a trained inspector can look closely and decide whether to pass, touch up or recoat it. The model only flags parts and spots worth a second look; it never passes a part on its own, and the existing finish standards and sign-off steps stay in place.
## What this means in practice
- Set up fixed cameras and steady lighting at the inspection point so images look the same from shift to shift
- Collect images of parts that inspectors have already passed or rejected, for each color and finish
- Label the finish defects the quality team tracks, plus clean examples of each finish
- Send only flagged parts and spots to a trained inspector, who confirms or rejects each mark
- Add reviewed images back into training whenever a new color, coating or part shape comes in
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
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