---
title: "How to inspect wind turbine blades with computer vision"
description: "Drone passes can capture thousands of close-up photos of each blade. A computer vision model trained on your own inspection images can mark possible leading edge erosion, cracks, chips, lightning damage, coating loss and contamination, place each mark at its position along the blade, and group findings by turbine and blade. Engineers review the marked photos instead of every image, and comparing inspections over time shows which damage is growing. A qualified blade inspector or engineer confirms every mark, assigns the severity using your own scale and decides on repair timing, and all climbing and repair work follows your safety rules."
url: https://lidvizion.ai/answers/how-to-inspect-wind-turbine-blades-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can computer vision help a wind farm operator review drone photos of turbine blades?

Drone passes can capture thousands of close-up photos of each blade. A computer vision model trained on your own inspection images can mark possible leading edge erosion, cracks, chips, lightning damage, coating loss and contamination, place each mark at its position along the blade, and group findings by turbine and blade. Engineers review the marked photos instead of every image, and comparing inspections over time shows which damage is growing. A qualified blade inspector or engineer confirms every mark, assigns the severity using your own scale and decides on repair timing, and all climbing and repair work follows your safety rules.

## What this means in practice

- Plan drone passes that cover each blade surface in a consistent pattern and light.
- Label your own blade photos for erosion, cracks, chips, lightning damage and coating loss.
- Train or tune a model and record each mark by turbine, blade and position.
- A qualified inspector confirms every mark and assigns severity on your own scale.
- Compare inspections over time and plan repairs from confirmed, growing damage first.

## 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

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- [How can computer vision help a plant or asset owner find corrosion on tanks, pipes, towers and steel structures?](https://lidvizion.ai/answers/how-to-spot-corrosion-with-computer-vision/)
- [How can computer vision help inspect concrete structures such as bridges, parking decks and walls for cracks?](https://lidvizion.ai/answers/how-to-find-concrete-cracks-with-computer-vision/)

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