/answers/how-to-check-car-wash-results-with-computer-vision/index.md · 42 lines
---
title: "How to check car wash results with computer vision"
description: "Cameras at the entry and the exit of the tunnel or bay take photos of each vehicle. A model trained on the operator own images marks spots that still look dirty, such as wheels, lower panels, rear windows and bug spots, and flags vehicles that come out wet or streaked. Comparing the entry and exit photos also keeps a simple record of how each vehicle looked before and after the wash, which helps staff answer questions about marks or damage. Results are tagged with the time and wash package, so the site lead can see which brushes, nozzles or chemicals need attention when misses cluster. Blur faces through windows and blur plates before photos are stored. Staff review the flags, offer a rewash where needed and decide what to adjust. The model does not replace equipment checks, staff walk-arounds or site rules, and people make every customer and maintenance call."
url: https://lidvizion.ai/answers/how-to-check-car-wash-results-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a car wash or fleet wash bay use computer vision to check how clean vehicles come out?
Cameras at the entry and the exit of the tunnel or bay take photos of each vehicle. A model trained on the operator own images marks spots that still look dirty, such as wheels, lower panels, rear windows and bug spots, and flags vehicles that come out wet or streaked. Comparing the entry and exit photos also keeps a simple record of how each vehicle looked before and after the wash, which helps staff answer questions about marks or damage. Results are tagged with the time and wash package, so the site lead can see which brushes, nozzles or chemicals need attention when misses cluster. Blur faces through windows and blur plates before photos are stored. Staff review the flags, offer a rewash where needed and decide what to adjust. The model does not replace equipment checks, staff walk-arounds or site rules, and people make every customer and maintenance call.
## What this means in practice
- Start with one tunnel or bay and both entry and exit cameras.
- Label photos from your own site for dirty spots, streaks and water left on.
- Blur faces and plates before photos are stored.
- Tag results with the time and wash package.
- Review clusters of misses to plan brush and nozzle checks.
## 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 a charging network, fleet depot or property owner use computer vision to find chargers that need attention?](https://lidvizion.ai/answers/how-to-check-ev-charging-stations-with-computer-vision/)
- [How can a vending or micro market operator use computer vision to see what needs restocking before a route?](https://lidvizion.ai/answers/how-to-check-vending-machine-stock-with-computer-vision/)
- [How can a restaurant group, commissary or food service site use computer vision to check walk-in coolers and freezers?](https://lidvizion.ai/answers/how-to-check-walk-in-coolers-with-computer-vision/)
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