/answers/how-to-find-road-and-street-defects-with-computer-vision/index.md · 46 lines
---
title: "How to find road and street defects with computer vision"
description: "Mount cameras on vehicles that already drive the routes, such as waste, transit or patrol runs, and record images with location. Computer vision flags likely defects such as potholes, damaged signs or obstructions with a photo and location, and faces and number plates are blurred before images are stored or reviewed. An inspector confirms, rejects or reclassifies every flag before a work order is created, confirmed defects get a priority, and repeat locations are tracked over time."
url: https://lidvizion.ai/answers/how-to-find-road-and-street-defects-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a city, county or utility use cameras on vehicles that already drive the routes to find potholes, damaged signs and other street defects sooner?
Mount cameras on vehicles that already drive the routes, such as waste, transit or patrol runs, and record images with location. Computer vision flags likely defects such as potholes, damaged signs or obstructions with a photo and location, and faces and number plates are blurred before images are stored or reviewed. An inspector confirms, rejects or reclassifies every flag before a work order is created, confirmed defects get a priority, and repeat locations are tracked over time.
## What this means in practice
- Use cameras on vehicles that already drive the routes.
- Record images with location on every run.
- Blur faces and number plates before images are stored or reviewed.
- Have an inspector confirm every flag before a work order is created.
- Track repeat locations over time.
## 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.
## See it as a workflow
- [Street asset defect reports from routine drives](https://lidvizion.ai/use-cases/street-asset-defect-reports/): Use images captured on routine drives to flag likely road, sign and street-furniture defects with a location, so an inspector confirms each one and real defects become work orders.
## More on Computer vision
- [How can a team, venue or event organizer use computer vision to report where sponsor logos appeared in footage without logging screen time by hand?](https://lidvizion.ai/answers/how-to-measure-sponsor-exposure-with-computer-vision/)
- [How can a team or league use computer vision to track players and the ball in match footage so analysts review patterns instead of logging them by hand?](https://lidvizion.ai/answers/how-to-track-players-and-the-ball-with-computer-vision/)
- [How can a team, club or league use computer vision to tag game and training footage so coaches and editors find the clip they need in seconds?](https://lidvizion.ai/answers/how-to-tag-sports-footage-with-ai/)
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