/answers/how-to-find-concrete-cracks-with-computer-vision/index.md · 42 lines
---
title: "How to find concrete cracks with computer vision"
description: "Drone, pole-camera or handheld photos of a concrete structure can be checked by a computer vision model trained on your own inspection images. It marks visible cracks, spalling, exposed rebar, staining and efflorescence, estimates crack length from photos taken at a known distance, and places each mark on the element it belongs to. Comparing passes over time shows which defects are growing. A qualified inspector or engineer confirms every mark, takes field measurements where needed, and makes all decisions about condition, load and repair, so the model speeds up the review but never signs off on a structure."
url: https://lidvizion.ai/answers/how-to-find-concrete-cracks-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can computer vision help inspect concrete structures such as bridges, parking decks and walls for cracks?
Drone, pole-camera or handheld photos of a concrete structure can be checked by a computer vision model trained on your own inspection images. It marks visible cracks, spalling, exposed rebar, staining and efflorescence, estimates crack length from photos taken at a known distance, and places each mark on the element it belongs to. Comparing passes over time shows which defects are growing. A qualified inspector or engineer confirms every mark, takes field measurements where needed, and makes all decisions about condition, load and repair, so the model speeds up the review but never signs off on a structure.
## What this means in practice
- Plan photo passes that cover each element at a set distance and in good light.
- Label your own inspection photos for cracks, spalling, exposed rebar and staining.
- Train or tune a model that marks defects and links each one to a structural element.
- A qualified inspector or engineer confirms marks and takes field measurements as needed.
- Compare passes over time and use confirmed findings to plan repair and the next inspection.
## 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 computer vision help a roofer or inspector review drone photos of a roof after a storm?](https://lidvizion.ai/answers/how-to-assess-roof-damage-from-drone-photos-with-computer-vision/)
- [How can computer vision help a fleet or tire shop check tread and sidewall condition from photos?](https://lidvizion.ai/answers/how-to-check-tire-condition-with-computer-vision/)
- [How can computer vision help a bottling or filling line catch underfilled containers and bad caps?](https://lidvizion.ai/answers/how-to-check-bottle-fill-levels-and-caps-with-computer-vision/)
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