/answers/how-to-inspect-zippers-and-garment-trims-with-computer-vision/index.md · 42 lines
---
title: "How to inspect zippers and garment trims with computer vision"
description: "A camera station looks at zippers, buttons, snaps and other trims as they come off the line or before they are sewn on, and flags missing or bent teeth, broken sliders, cracked or chipped buttons, off-color pieces and wrong sizes for a person to check. Each flag is saved with a photo and the lot, so repeat problems point back to a machine or a dye batch. A quality lead decides every pass or rework, and the usual pull, wash and color tests stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-zippers-and-garment-trims-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a garment or trim maker use computer vision to inspect zippers, buttons and snaps?
A camera station looks at zippers, buttons, snaps and other trims as they come off the line or before they are sewn on, and flags missing or bent teeth, broken sliders, cracked or chipped buttons, off-color pieces and wrong sizes for a person to check. Each flag is saved with a photo and the lot, so repeat problems point back to a machine or a dye batch. A quality lead decides every pass or rework, and the usual pull, wash and color tests stay in place.
## What this means in practice
- A camera and even light take pictures of each zipper chain, slider, button, snap or rivet on the line, on a tray or as it feeds into the sewing step.
- The model is trained on the clients own trims and colors. It flags missing, bent or crooked zipper teeth, broken or missing sliders and pulls, cracked or chipped buttons, missing holes, bad plating, wrong sizes, and pieces whose color does not match the lot.
- Each flag is saved with a photo, the lot or order, the machine and the time, so the team can see if one machine, mold or dye batch keeps causing the same problem.
- A quality lead checks every flag and decides whether the lot passes, gets sorted or is pulled. The camera points at the trims, not at workers, and any people caught in view are blurred.
- Start with one trim type and one line, compare the camera flags with what the inspectors find for a few weeks, and keep the existing pull, wash, color and customer 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
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- [How can a carpet or rug maker use computer vision to inspect rolls and finished pieces?](https://lidvizion.ai/answers/how-to-inspect-carpets-and-rugs-with-computer-vision/)
- [How can a tortilla or flatbread maker use computer vision to check products on the line?](https://lidvizion.ai/answers/how-to-inspect-tortillas-and-flatbreads-with-computer-vision/)
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