How can computer vision help a utility or line contractor find trees and brush growing too close to power lines?

---
title: "How to check vegetation near power lines with computer vision"
description: "Drone, vehicle or patrol photos along a line can be checked by a computer vision model trained on your own corridor images. It marks trees, branches and brush that appear to be growing toward conductors, poles or other equipment, notes leaning or dead trees near the line, and ties each mark to a span or pole number. Crews and planners get a ranked list of spans to look at instead of reviewing every image. A qualified arborist or line inspector confirms each mark in the field, and all clearance decisions and tree work follow your own standards and safety rules."
url: https://lidvizion.ai/answers/how-to-check-vegetation-near-power-lines-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can computer vision help a utility or line contractor find trees and brush growing too close to power lines?

Drone, vehicle or patrol photos along a line can be checked by a computer vision model trained on your own corridor images. It marks trees, branches and brush that appear to be growing toward conductors, poles or other equipment, notes leaning or dead trees near the line, and ties each mark to a span or pole number. Crews and planners get a ranked list of spans to look at instead of reviewing every image. A qualified arborist or line inspector confirms each mark in the field, and all clearance decisions and tree work follow your own standards and safety rules.

## What this means in practice

- Collect patrol photos along each line with span or pole numbers recorded.
- Label your own corridor photos for vegetation growing toward lines and for hazard trees.
- Train or tune a model and tie each mark to a span or pole.
- A qualified arborist or line inspector confirms each mark in the field.
- Plan trimming from confirmed findings and compare patrols over time to spot regrowth.

## 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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