---
title: "How to inspect brushes and brooms with computer vision"
description: "Cameras on the line look at each paint brush, broom or cleaning brush after tufting and trimming and flag missing or thin tufts, uneven trim, loose or crooked handles, bent ferrules, glue spots and wrong colors for a person to check. Each flag is saved with a photo and the machine and batch, so repeat problems point back to a tufting head, trimmer or parts lot. A line lead decides what is pulled, and the usual pull-out, handle and wear tests stay in place."
url: https://lidvizion.ai/answers/how-to-inspect-brushes-and-brooms-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a brush or broom maker use computer vision to inspect products on the line?

Cameras on the line look at each paint brush, broom or cleaning brush after tufting and trimming and flag missing or thin tufts, uneven trim, loose or crooked handles, bent ferrules, glue spots and wrong colors for a person to check. Each flag is saved with a photo and the machine and batch, so repeat problems point back to a tufting head, trimmer or parts lot. A line lead decides what is pulled, and the usual pull-out, handle and wear tests stay in place.

## What this means in practice

- Cameras and even light take pictures of each paint brush, broom or cleaning brush from the face and the side after tufting, trimming and handle fitting.
- The model is trained on the clients own products and bristles. It flags missing, thin or loose tufts, uneven or ragged trim, stray bristles, loose or crooked handles, bent or dented ferrules, glue spots, and bristle or handle colors that do not match the order.
- Each flag is saved with a photo, the machine, the batch and the time, so the team can see if one tufting head, trimmer or parts lot keeps causing the same problem.
- A line lead checks the flags and decides what is pulled or reworked. The cameras point at the product, not at workers, and any people caught in view are blurred.
- Start with one machine and one product, compare the camera flags with what the crew finds for a few weeks, and keep the existing pull-out, handle, wear 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 a pen or marker maker use computer vision to inspect products on the assembly line?](https://lidvizion.ai/answers/how-to-inspect-pens-and-markers-with-computer-vision/)
- [How can a bag or luggage maker use computer vision to inspect finished pieces?](https://lidvizion.ai/answers/how-to-inspect-luggage-and-backpacks-with-computer-vision/)
- [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/)

[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-brushes-and-brooms-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)