/answers/how-to-inspect-ceramic-tiles-with-computer-vision/index.md · 42 lines
---
title: "How to inspect ceramic tiles with computer vision"
description: "Place a camera and steady lighting over the line after the kiln, then use a model trained on the plant own tile images to mark likely cracks, chipped edges or corners, pinholes, glaze drips, spots and print faults on decorated tiles. The tool can also group tiles by shade so each box looks even. Each mark points to the tile and the spot on it, so a trained sorter can confirm the grade before tiles are boxed. The model only flags and groups tiles; people make the final grade and shade call, and the existing size and flatness checks stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-ceramic-tiles-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a tile maker use computer vision to sort tiles for surface defects and shade?
Place a camera and steady lighting over the line after the kiln, then use a model trained on the plant own tile images to mark likely cracks, chipped edges or corners, pinholes, glaze drips, spots and print faults on decorated tiles. The tool can also group tiles by shade so each box looks even. Each mark points to the tile and the spot on it, so a trained sorter can confirm the grade before tiles are boxed. The model only flags and groups tiles; people make the final grade and shade call, and the existing size and flatness checks stay in place.
## What this means in practice
- Set up a fixed camera and steady lighting after the kiln so every tile is captured the same way
- Collect images of tiles that sorters have already graded and shaded, for each product and glaze
- Label the surface defects and shade groups the quality team uses
- Show sorters the marked tile and suggested grade and shade, and record their final call
- Add reviewed images back into training whenever a new design, glaze or kiln setting 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
- [How can a print shop or packaging printer use computer vision to catch print defects on the press?](https://lidvizion.ai/answers/how-to-check-print-quality-with-computer-vision/)
- [How can a commercial laundry use computer vision to check sheets, towels and uniforms before they ship?](https://lidvizion.ai/answers/how-to-inspect-laundered-linens-with-computer-vision/)
- [How can a quarry, plant or yard use drone photos and computer vision to track stockpiles of sand, gravel, wood chips or other bulk material?](https://lidvizion.ai/answers/how-to-estimate-stockpile-volumes-from-drone-photos-with-computer-vision/)
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