---
title: "How to inspect canals and culverts with computer vision"
description: "Photos or video from a vehicle on the ditch road, a drone flown on a set route, or fixed cameras at key grates and gates feed a model trained on the owner own images. It marks likely problems such as weeds and moss choking the channel, trash or branches piled at grates and culvert mouths, bank erosion or slumping, cracked or broken lining, standing water where it should flow and gates that look stuck open or closed. Each flag is tagged with a place and a photo, and comparing passes shows where blockages build up fastest, which helps plan clearing before storms or the irrigation season. Blur any person or plate before photos are stored. A field crew lead reviews the flags and decides what to clear or repair first. The model does not replace field walks, water measurements or safety rules near moving water, and people make every repair and safety call."
url: https://lidvizion.ai/answers/how-to-inspect-canals-and-culverts-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can an irrigation district, county or farm use computer vision to check canals, ditches and culverts?

Photos or video from a vehicle on the ditch road, a drone flown on a set route, or fixed cameras at key grates and gates feed a model trained on the owner own images. It marks likely problems such as weeds and moss choking the channel, trash or branches piled at grates and culvert mouths, bank erosion or slumping, cracked or broken lining, standing water where it should flow and gates that look stuck open or closed. Each flag is tagged with a place and a photo, and comparing passes shows where blockages build up fastest, which helps plan clearing before storms or the irrigation season. Blur any person or plate before photos are stored. A field crew lead reviews the flags and decides what to clear or repair first. The model does not replace field walks, water measurements or safety rules near moving water, and people make every repair and safety call.

## What this means in practice

- Start with one canal reach or a set of problem culverts.
- Label photos from your own channels for weeds, debris, erosion and broken lining.
- Capture photos on the same route or from the same cameras each time.
- Blur people and plates before photos are stored.
- Send each flag to the crew lead with a place and a photo.

## 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.

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