How can computer vision help a mine, quarry, plant or warehouse watch conveyor belts for damage?

---
title: "How to monitor conveyor belt wear with computer vision"
description: "A camera over the return side or a transfer point can image the belt as it runs. A computer vision model trained on your own belt images can mark rips, edge damage, worn or missing cleats, damaged splices, mistracking and material spillage, and log where along the belt each mark appears. It turns a manual walk of the line into a short list of spots to check during the next planned stop. Maintenance staff confirm each mark before any repair is planned, and all inspection and repair work follows your lockout and safety procedures."
url: https://lidvizion.ai/answers/how-to-monitor-conveyor-belt-wear-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can computer vision help a mine, quarry, plant or warehouse watch conveyor belts for damage?

A camera over the return side or a transfer point can image the belt as it runs. A computer vision model trained on your own belt images can mark rips, edge damage, worn or missing cleats, damaged splices, mistracking and material spillage, and log where along the belt each mark appears. It turns a manual walk of the line into a short list of spots to check during the next planned stop. Maintenance staff confirm each mark before any repair is planned, and all inspection and repair work follows your lockout and safety procedures.

## What this means in practice

- Place a camera with steady lighting where the belt surface and edges are visible.
- Label your own belt images for rips, edge damage, splice wear, mistracking and spillage.
- Train or tune a model and log each mark with its position on the belt.
- Maintenance staff confirm marks during planned stops and decide on repairs.
- Track repeat issues by belt section so root causes such as misalignment get fixed.

## 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.

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