/answers/how-to-check-traffic-signals-with-computer-vision/index.md · 42 lines
---
title: "How to check traffic signals with computer vision"
description: "Cameras on a maintenance or patrol truck capture each signalized crossing in a steady drive-by, and the model marks signals that may need a closer look, such as dark or dim lamps, twisted or misaligned signal heads, damaged or missing backplates and visors, faded reflective borders, and trees or signs blocking the view. Each mark is saved with the image, the intersection ID or GPS spot and the date, so crews can plan fixes by priority. A qualified traffic signal technician or engineer decides every job, and the usual maintenance, standards and records stay in place."
url: https://lidvizion.ai/answers/how-to-check-traffic-signals-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a city or road agency use computer vision to spot traffic signal problems such as dark lamps, damaged heads or blocked views between scheduled maintenance visits?
Cameras on a maintenance or patrol truck capture each signalized crossing in a steady drive-by, and the model marks signals that may need a closer look, such as dark or dim lamps, twisted or misaligned signal heads, damaged or missing backplates and visors, faded reflective borders, and trees or signs blocking the view. Each mark is saved with the image, the intersection ID or GPS spot and the date, so crews can plan fixes by priority. A qualified traffic signal technician or engineer decides every job, and the usual maintenance, standards and records stay in place.
## What this means in practice
- Cameras on a maintenance or patrol truck capture each signalized intersection and crossing in a steady drive-by, ideally on the same approach, time of day and settings each pass, with some night passes to see lamps clearly.
- The model is trained on the agency own signal images. It marks dark, dim or flickering lamps, twisted, tilted or misaligned signal heads, damaged or missing backplates and visors, faded or missing reflective borders, damaged pedestrian signals and push buttons, and trees, signs or banners blocking the view of a signal.
- Each mark is saved with the image, the intersection ID or GPS spot and the date, so the team can compare against the last pass, see which intersections need work most often and plan fixes by priority, with dark or blocked signals sent straight to the on-call crew.
- A qualified traffic signal technician or engineer reviews every mark and decides what gets fixed, trimmed or left as is. Cameras point at the signals, and any people or plates caught in view are blurred.
- Start with one corridor, compare the marks with what crews and the public report for a few weeks, and keep the existing signal maintenance, timing checks, standards, work orders and records in place. Camera checks add to that work and never replace it.
## 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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