/answers/how-to-inspect-the-paper-web-with-computer-vision/index.md · 42 lines
---
title: "How to inspect the paper web with computer vision"
description: "Mount cameras and steady lighting across the paper machine or winder, then use a model trained on the mill own images to mark likely holes, tears, wrinkles, spots, streaks, edge cracks and dirt in the moving sheet. Each mark carries the reel, position across the sheet and length into the roll, so the crew can trace a repeating defect back to a felt, roll or section and the finishing team can cut it out at the winder. The model only flags defects for people to check; it does not replace lab tests for strength, weight or moisture, and the crew decides what to do about any pattern it finds."
url: https://lidvizion.ai/answers/how-to-inspect-the-paper-web-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a paper or tissue mill use computer vision to find defects in the moving sheet?
Mount cameras and steady lighting across the paper machine or winder, then use a model trained on the mill own images to mark likely holes, tears, wrinkles, spots, streaks, edge cracks and dirt in the moving sheet. Each mark carries the reel, position across the sheet and length into the roll, so the crew can trace a repeating defect back to a felt, roll or section and the finishing team can cut it out at the winder. The model only flags defects for people to check; it does not replace lab tests for strength, weight or moisture, and the crew decides what to do about any pattern it finds.
## What this means in practice
- Mount fixed cameras and steady lighting across the machine or winder so the full width is covered
- Collect images of defects that the crew has already reviewed, for each grade and machine speed
- Label the defect types the mill tracks, plus clean sheet examples for comparison
- Log every flag by reel, position across the sheet and length so repeating defects stand out
- Add reviewed images back into training whenever a new grade, furnish or machine change 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 an egg packer use computer vision to catch dirty, cracked or misshapen eggs on the line?](https://lidvizion.ai/answers/how-to-check-eggs-on-a-packing-line-with-computer-vision/)
- [How can a beverage or food canner use computer vision to check cans on the line?](https://lidvizion.ai/answers/how-to-inspect-cans-on-a-filling-line-with-computer-vision/)
- [How can a beekeeper or pollination service use computer vision to keep an eye on many hives?](https://lidvizion.ai/answers/how-to-monitor-beehives-with-computer-vision/)
[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)
Talk it through
## Have a version of this question inside your company?
Bring the decision, the constraints, and what a good outcome looks like.
[Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-inspect-the-paper-web-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)