---
title: "How to check guardrails and crash barriers with computer vision"
description: "Cameras on a maintenance truck capture the roadside in a steady drive-by, and the model marks spots that may need a closer look, such as dented, bent or torn rail sections, missing or loose posts and bolts, damaged end treatments, leaning or knocked-down barrier sections, and missing reflectors or delineators. Each mark is saved with the image, the GPS spot or mile marker and the date, so crews can plan repairs by priority and see what changed since the last pass. A qualified road safety engineer or crew lead decides every repair, and the usual inspections, standards and records stay in place."
url: https://lidvizion.ai/answers/how-to-check-guardrails-and-crash-barriers-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can a road agency or highway maintenance team use computer vision to check guardrails, crash barriers and their end treatments along a route?

Cameras on a maintenance truck capture the roadside in a steady drive-by, and the model marks spots that may need a closer look, such as dented, bent or torn rail sections, missing or loose posts and bolts, damaged end treatments, leaning or knocked-down barrier sections, and missing reflectors or delineators. Each mark is saved with the image, the GPS spot or mile marker and the date, so crews can plan repairs by priority and see what changed since the last pass. A qualified road safety engineer or crew lead decides every repair, and the usual inspections, standards and records stay in place.

## What this means in practice

- Cameras on a maintenance or patrol truck capture guardrails, concrete barriers, cable barriers and end treatments in a steady drive-by, ideally on the same lane, speed and settings each pass.
- The model is trained on the agency own roadside images. It marks dented, bent or torn rail sections, missing or loose posts, bolts and blockouts, damaged or hit end treatments and crash cushions, leaning, cracked or shifted barrier sections, and missing or faded reflectors and delineators.
- Each mark is saved with the image, the GPS spot or mile marker and the date, so the team can compare against the last pass, spot new damage after crashes or storms and plan repairs by priority.
- A qualified road safety engineer or crew lead reviews every mark and decides what gets repaired, replaced or left as is. Cameras point at the roadside, and any people or plates caught in view are blurred.
- Start with one corridor, compare the marks with what crews find on their own patrols for a few weeks, and keep the existing inspections, design standards, work orders and records in place. Camera checks add to those patrols and never replace them.

## 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 a city, transit agency or business district use computer vision to check bus shelters, benches and other street furniture?](https://lidvizion.ai/answers/how-to-check-bus-shelters-and-street-furniture-with-computer-vision/)
- [How can a city, county or road team use computer vision to keep an inventory of road signs and spot ones that need work?](https://lidvizion.ai/answers/how-to-inventory-road-signs-with-computer-vision/)

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