How can a paving contractor or property owner use computer vision to check fresh asphalt before a job is signed off?

---
title: "How to check new asphalt paving with computer vision"
description: "A camera on the paver, the roller or a small vehicle, or a drone flown after the last pass, takes photos of the new surface. A model trained on the contractor own images marks likely problems such as patches where the stones look separated from the mix, rough or open texture, roller marks, cracks, poor seams between passes, low spots that may hold water, oil drips and debris pressed into the surface, and places each one on a map of the job. The crew can fix spots while the mix is still workable, and the photos give a clear record of how the job looked when it was handed over. Blur any person or plate before photos are stored. The foreman or inspector reviews the map, checks the worst spots on site and decides what to fix. The model does not replace density tests, temperature checks or project specs, which stay in place, and people make every quality and sign-off call."
url: https://lidvizion.ai/answers/how-to-check-new-asphalt-paving-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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# How can a paving contractor or property owner use computer vision to check fresh asphalt before a job is signed off?

A camera on the paver, the roller or a small vehicle, or a drone flown after the last pass, takes photos of the new surface. A model trained on the contractor own images marks likely problems such as patches where the stones look separated from the mix, rough or open texture, roller marks, cracks, poor seams between passes, low spots that may hold water, oil drips and debris pressed into the surface, and places each one on a map of the job. The crew can fix spots while the mix is still workable, and the photos give a clear record of how the job looked when it was handed over. Blur any person or plate before photos are stored. The foreman or inspector reviews the map, checks the worst spots on site and decides what to fix. The model does not replace density tests, temperature checks or project specs, which stay in place, and people make every quality and sign-off call.

## What this means in practice

- Start with a few jobs of the same type, such as parking lots.
- Label photos from your own jobs for rough texture, separated stones, bad seams and low spots.
- Take photos right after the last roller pass.
- Blur people and plates before photos are stored.
- Have the foreman check the worst spots on site before sign-off.

## 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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