/answers/how-to-inspect-laundered-linens-with-computer-vision/index.md · 42 lines
---
title: "How to inspect laundered linens with computer vision"
description: "Add a camera and steady lighting where items pass on the folding or ironing line, then use a model trained on the laundry own images to mark items with stains that did not wash out, holes, tears, frayed edges or heavy wear. Flagged items are pulled for rewash, repair or retirement, and each flag is logged by item type and customer so the plant manager can see which wash programs or customers need attention. The model only flags items for a person to check; staff decide what happens to each item, and the existing hygiene and handling rules stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-laundered-linens-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a commercial laundry use computer vision to check sheets, towels and uniforms before they ship?
Add a camera and steady lighting where items pass on the folding or ironing line, then use a model trained on the laundry own images to mark items with stains that did not wash out, holes, tears, frayed edges or heavy wear. Flagged items are pulled for rewash, repair or retirement, and each flag is logged by item type and customer so the plant manager can see which wash programs or customers need attention. The model only flags items for a person to check; staff decide what happens to each item, and the existing hygiene and handling rules stay in place.
## What this means in practice
- Set up a fixed camera and steady lighting at the folding or ironing line
- Collect images of items that staff have already sorted as good, rewash, repair or retire
- Label the defect types the laundry tracks for each item type
- Send flagged items to a staff member who confirms the call, and log results by item type and customer
- Add reviewed images back into training whenever new item types, colors or customers come 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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- [How can a pallet recycler or warehouse use computer vision to sort returned pallets into reuse, repair or scrap?](https://lidvizion.ai/answers/how-to-grade-used-wooden-pallets-with-computer-vision/)
- [How can a railroad or transit agency use computer vision to review track inspection images?](https://lidvizion.ai/answers/how-to-review-rail-track-inspection-images-with-computer-vision/)
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