How to inspect towels and bed linens in production with computer vision

How can a home textile maker use computer vision to inspect new towels, sheets and pillowcases before they leave the mill?

Cameras at the cutting, hemming and folding steps look at each towel, sheet or pillowcase and flag pulled loops, holes, stains, uneven hems, crooked labels, wrong sizes and shade differences for a person to check. Each flag is saved with a photo and the order and batch, so repeat problems point back to a loom, sewing station or dye lot. A quality lead decides every pass or rework, and the usual size, shrink, color and wash tests stay in place.

What this means in practice

Cameras and even light over the cutting, hemming and folding tables take pictures of each towel, sheet or pillowcase as it moves past, on both sides when the line allows.
The model is trained on the clients own products and fabrics. It flags pulled or missing loops, holes, slubs, stains, oil spots, uneven or open hems, crooked or missing labels, pieces cut too long or too short, and shade differences within a set.
Each flag is saved with a photo, the order, the batch and the time, so the team can see if one loom, sewing station or dye lot keeps causing the same problem.
A quality lead checks every flagged piece and decides whether it ships as first quality, sells as a second or is pulled. The cameras point at the product, not at workers, and any people caught in view are blurred.
Start with one line and one product, compare the camera flags with what the inspectors find for a few weeks, and keep the existing size, shrink, color, wash and label tests in place.

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.

--- title: "How to inspect towels and bed linens in production with computer vision" description: "Cameras at the cutting, hemming and folding steps look at each towel, sheet or pillowcase and flag pulled loops, holes, stains, uneven hems, crooked labels, wrong sizes and shade differences for a person to check. Each flag is saved with a photo and the order and batch, so repeat problems point back to a loom, sewing station or dye lot. A quality lead decides every pass or rework, and the usual size, shrink, color and wash tests stay in place." url: https://lidvizion.ai/answers/how-to-inspect-towels-and-bed-linens-in-production-with-computer-vision/ site: Lid Vizion index: https://lidvizion.ai/llms.txt --- [Direct answers](https://lidvizion.ai/answers/) # How can a home textile maker use computer vision to inspect new towels, sheets and pillowcases before they leave the mill? Cameras at the cutting, hemming and folding steps look at each towel, sheet or pillowcase and flag pulled loops, holes, stains, uneven hems, crooked labels, wrong sizes and shade differences for a person to check. Each flag is saved with a photo and the order and batch, so repeat problems point back to a loom, sewing station or dye lot. A quality lead decides every pass or rework, and the usual size, shrink, color and wash tests stay in place. ## What this means in practice - Cameras and even light over the cutting, hemming and folding tables take pictures of each towel, sheet or pillowcase as it moves past, on both sides when the line allows. - The model is trained on the clients own products and fabrics. It flags pulled or missing loops, holes, slubs, stains, oil spots, uneven or open hems, crooked or missing labels, pieces cut too long or too short, and shade differences within a set. - Each flag is saved with a photo, the order, the batch and the time, so the team can see if one loom, sewing station or dye lot keeps causing the same problem. - A quality lead checks every flagged piece and decides whether it ships as first quality, sells as a second or is pulled. The cameras point at the product, not at workers, and any people caught in view are blurred. - Start with one line and one product, compare the camera flags with what the inspectors find for a few weeks, and keep the existing size, shrink, color, wash and label tests in place. ## 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 envelope or mailer maker use computer vision to inspect products on the line?](https://lidvizion.ai/answers/how-to-inspect-envelopes-and-mailers-with-computer-vision/) - [How can a sock or hosiery maker use computer vision to inspect finished pairs?](https://lidvizion.ai/answers/how-to-inspect-socks-and-hosiery-with-computer-vision/) - [How can a paper converter use computer vision to inspect tissue and paper towel rolls?](https://lidvizion.ai/answers/how-to-inspect-tissue-and-paper-towel-rolls-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-towels-and-bed-linens-in-production-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)

What this means in practice

How Lid Vizion approaches it

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