---
title: "How to inspect luggage and backpacks with computer vision"
description: "A camera station at the end of the line looks at each suitcase, backpack or bag and flags loose or crooked seams, open stitching, scuffs, dents, cracked shells, missing wheels, feet or zipper pulls and logos out of place for a person to check. Each flag is saved with a photo and the style and batch, so repeat problems point back to a sewing station, mold or parts lot. A quality lead decides every pass or fix, and the usual drop, handle and zipper tests stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-luggage-and-backpacks-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a bag or luggage maker use computer vision to inspect finished pieces?

A camera station at the end of the line looks at each suitcase, backpack or bag and flags loose or crooked seams, open stitching, scuffs, dents, cracked shells, missing wheels, feet or zipper pulls and logos out of place for a person to check. Each flag is saved with a photo and the style and batch, so repeat problems point back to a sewing station, mold or parts lot. A quality lead decides every pass or fix, and the usual drop, handle and zipper tests stay in place.

## What this means in practice

- A few cameras and even light at the last station take pictures of each suitcase, backpack or bag from the front, back, sides and bottom before it is tagged and boxed.
- The model is trained on the clients own styles and materials. It flags loose, crooked or open seams, skipped stitches, scuffs, dents or cracks in hard shells, missing or crooked wheels, feet, handles or zipper pulls, and logos or labels that are missing or out of place.
- Each flag is saved with a photo, the style, color and batch, and the time, so the team can see if one sewing station, mold or parts lot keeps causing the same problem.
- A quality lead checks every flagged piece and decides whether it ships, gets fixed 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 style, compare the camera flags with what the inspectors find for a few weeks, and keep the existing drop, handle, wheel and zipper 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 a bicycle maker or assembler use computer vision to check bikes before they are boxed?](https://lidvizion.ai/answers/how-to-inspect-bicycles-at-final-assembly-with-computer-vision/)
- [How can a spring maker use computer vision to inspect coil, wire and flat springs?](https://lidvizion.ai/answers/how-to-inspect-springs-with-computer-vision/)
- [How can a home textile maker use computer vision to inspect new towels, sheets and pillowcases before they leave the mill?](https://lidvizion.ai/answers/how-to-inspect-towels-and-bed-linens-in-production-with-computer-vision/)

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