---
title: "How to check fire hydrants with computer vision"
description: "Cameras on a utility truck or a crew phone take pictures of each hydrant along the route, and the model marks ones that may need a closer look, such as leaning or knocked-over hydrants, missing or damaged caps, faded or wrong color paint, blocked access from cars, plants or snow, and missing markers or reflectors. Each mark is saved with the photo, the hydrant ID or GPS spot and the date, so crews can plan fixes by priority. A qualified water utility or fire department lead decides every job, and the usual hands-on inspections, flow tests, standards and records stay in place."
url: https://lidvizion.ai/answers/how-to-check-fire-hydrants-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a water utility or fire department use computer vision to spot fire hydrant problems between hands-on inspections and flow tests?

Cameras on a utility truck or a crew phone take pictures of each hydrant along the route, and the model marks ones that may need a closer look, such as leaning or knocked-over hydrants, missing or damaged caps, faded or wrong color paint, blocked access from cars, plants or snow, and missing markers or reflectors. Each mark is saved with the photo, the hydrant ID or GPS spot and the date, so crews can plan fixes by priority. A qualified water utility or fire department lead decides every job, and the usual hands-on inspections, flow tests, standards and records stay in place.

## What this means in practice

- Cameras on a utility or fire department truck, or a crew phone, take pictures of each hydrant along the route, ideally from the same side and distance each pass.
- The model is trained on the owner own hydrant images. It marks leaning, damaged or knocked-over hydrants, missing or damaged caps and chains, faded or wrong color paint and bands, plants, snow, parked cars or objects blocking access, and missing or damaged blue markers and reflectors.
- Each mark is saved with the photo, the hydrant ID or GPS spot and the date, so the team can see which hydrants and blocks need work most often and plan painting, clearing and repairs by priority.
- A qualified water utility or fire department lead reviews every mark and decides what gets fixed, cleared or left as is. Photos only show the outside of the hydrant, so internal problems still need hands-on checks, and any people or plates caught in view are blurred.
- Start with one district, compare the marks with what crews find on their own rounds for a few weeks, and keep the existing hands-on inspections, flow tests, standards, work orders and records in place. Camera checks add to those inspections 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/)

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