---
title: "How to inspect perimeter fences with computer vision"
description: "Photos or video from a vehicle that already drives the fence line, or from a drone flown on a set route, feed a model trained on the site own images. It marks likely problems such as holes or cuts in the mesh, broken or sagging wire, leaning or missing posts, damaged gates, washouts under the fence and vegetation growing into it, and tags each one with a place and a photo. Comparing one pass with the next shows new damage and stretches that keep needing work, which helps plan repairs and clearing. Blur any person or plate before photos are stored. A maintenance lead reviews the flags and decides what to fix first and who goes. The model does not replace walk-downs, security patrols or site rules, and people make every repair and safety call."
url: https://lidvizion.ai/answers/how-to-inspect-perimeter-fences-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a utility, farm, solar site or industrial yard use computer vision to check long fence lines?

Photos or video from a vehicle that already drives the fence line, or from a drone flown on a set route, feed a model trained on the site own images. It marks likely problems such as holes or cuts in the mesh, broken or sagging wire, leaning or missing posts, damaged gates, washouts under the fence and vegetation growing into it, and tags each one with a place and a photo. Comparing one pass with the next shows new damage and stretches that keep needing work, which helps plan repairs and clearing. Blur any person or plate before photos are stored. A maintenance lead reviews the flags and decides what to fix first and who goes. The model does not replace walk-downs, security patrols or site rules, and people make every repair and safety call.

## What this means in practice

- Start with one fence line or one site.
- Label photos from your own fences for holes, broken wire, leaning posts and vegetation.
- Capture photos on the same route each pass.
- Blur people and plates before photos are stored.
- Send each flag to the maintenance lead with a place and a photo.

## 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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