/answers/how-to-find-streetlight-outages-with-computer-vision/index.md · 42 lines
---
title: "How to find streetlight outages with computer vision"
description: "A camera on a vehicle that already drives the routes at night takes video as it goes, and a daytime pass can add photos of the poles. A model trained on the owner own images marks lights that look dark, dim, flickering or the wrong color, and in daylight it marks leaning poles, damaged or missing fixtures, open access panels and branches blocking the light. Each flag is tagged with a place, a time and a photo, so it can be matched to the asset list and sent to the right crew. Comparing passes shows which lights fail again and again. Blur any person or plate before photos are stored. A crew lead reviews the flags and decides what to fix and when. The model does not replace resident reports, electrical checks or safety rules for pole work, and people make every repair and safety call."
url: https://lidvizion.ai/answers/how-to-find-streetlight-outages-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a city, utility or campus use computer vision to find streetlights that are out or damaged?
A camera on a vehicle that already drives the routes at night takes video as it goes, and a daytime pass can add photos of the poles. A model trained on the owner own images marks lights that look dark, dim, flickering or the wrong color, and in daylight it marks leaning poles, damaged or missing fixtures, open access panels and branches blocking the light. Each flag is tagged with a place, a time and a photo, so it can be matched to the asset list and sent to the right crew. Comparing passes shows which lights fail again and again. Blur any person or plate before photos are stored. A crew lead reviews the flags and decides what to fix and when. The model does not replace resident reports, electrical checks or safety rules for pole work, and people make every repair and safety call.
## What this means in practice
- Start with one district or a few busy routes.
- Label night video and day photos from your own lights and poles.
- Match each flag to your streetlight asset list by place.
- 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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