/answers/how-to-check-storm-drains-and-catch-basins-with-computer-vision/index.md · 42 lines
---
title: "How to check storm drains and catch basins with computer vision"
description: "Cameras on a work truck, street sweeper or phone take pictures of each drain inlet and catch basin as crews pass, and the model marks ones that look blocked by leaves, trash or sediment, have broken or missing grates, sunken frames or standing water nearby. Each mark is saved with the photo, the location and the date, so crews can plan cleaning before storms and fix the worst first. A crew lead or engineer decides on every mark, and the usual inspections, permits and records stay in place."
url: https://lidvizion.ai/answers/how-to-check-storm-drains-and-catch-basins-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a city, campus or property team use computer vision to check storm drains and catch basins?
Cameras on a work truck, street sweeper or phone take pictures of each drain inlet and catch basin as crews pass, and the model marks ones that look blocked by leaves, trash or sediment, have broken or missing grates, sunken frames or standing water nearby. Each mark is saved with the photo, the location and the date, so crews can plan cleaning before storms and fix the worst first. A crew lead or engineer decides on every mark, and the usual inspections, permits and records stay in place.
## What this means in practice
- Cameras on a work truck, street sweeper or a crew phone take pictures of each drain inlet and catch basin along the route, ideally from the same angle each time.
- The model is trained on the owner own drains and photos. It marks inlets that look blocked by leaves, trash or sediment, broken, loose or missing grates and covers, sunken or cracked frames, and standing water or ponding nearby.
- Each mark is saved with the photo, the drain ID or GPS spot and the date, so the team can see which drains fill up fastest and plan cleaning before storms.
- A crew lead or engineer reviews every mark and decides what gets cleaned, fixed or watched. The cameras point at the street, not at people, and any people or plates caught in view are blurred.
- Start with one route or one campus, compare the marks with what the crews find on their own rounds for a few weeks, and keep the existing inspections, permits, storm water plans and records in place.
## 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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