---
title: "How to check freestall bedding and cleanliness with computer vision"
description: "Mount fixed cameras over the barn, or take phone photos on a set route, then use a model trained on the farm own photos to mark stalls that look low on bedding, wet or dirty, and alley sections that need scraping, plus stalls where cows are standing rather than lying for long stretches. The barn crew sees a short list of stalls and sections to check on the next pass. The model only points the crew to spots worth a look; people decide on bedding and cleaning, and any concern about cow comfort or health goes to the herd manager and the farm vet."
url: https://lidvizion.ai/answers/how-to-check-freestall-bedding-and-cleanliness-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a dairy use computer vision to check stall bedding and alley cleanliness between cleanings?

Mount fixed cameras over the barn, or take phone photos on a set route, then use a model trained on the farm own photos to mark stalls that look low on bedding, wet or dirty, and alley sections that need scraping, plus stalls where cows are standing rather than lying for long stretches. The barn crew sees a short list of stalls and sections to check on the next pass. The model only points the crew to spots worth a look; people decide on bedding and cleaning, and any concern about cow comfort or health goes to the herd manager and the farm vet.

## What this means in practice

- Mount fixed cameras or set a photo route so each pen is captured the same way each time
- Collect photos that the barn crew has already marked as fine, needs bedding or needs cleaning
- Label the conditions the farm tracks, such as bedding level, wet or dirty stalls and alley build up
- Send the crew a short list of stalls and alley sections to check on the next pass
- Add reviewed photos back into training as bedding type, season and barn setup change

## 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 dairy use computer vision to help track body condition scores across the herd?](https://lidvizion.ai/answers/how-to-score-dairy-cow-body-condition-with-computer-vision/)
- [How can a dairy or feedlot use computer vision to help with daily bunk reads?](https://lidvizion.ai/answers/how-to-read-cattle-feed-bunks-with-computer-vision/)
- [How can a print farm or additive shop use computer vision to catch failed or flawed prints early?](https://lidvizion.ai/answers/how-to-monitor-3d-printing-with-computer-vision/)

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