---
title: "How to keep a tree inventory with computer vision"
description: "Photos from a vehicle that already drives the streets, a walking round with a phone, or a drone over a campus feed a model trained on the owner own images. It places each tree on a map, gives a rough size, and marks likely issues such as dead or broken limbs, thin or brown canopy, leaning trunks, limbs over roads, roofs or lines, and damage around the base, and it tags each one with a photo. Comparing passes shows which trees are changing, which helps plan pruning, watering and planting by need instead of by calendar. Blur any person or plate before photos are stored. A certified arborist reviews the flags, checks the trees that matter most on site and decides what work to do. The model does not replace arborist checks, tree risk reviews or the rules for working near power lines, and people make every care and safety call."
url: https://lidvizion.ai/answers/how-to-keep-a-tree-inventory-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a city, campus or property manager use computer vision to keep track of trees and spot ones that need care?

Photos from a vehicle that already drives the streets, a walking round with a phone, or a drone over a campus feed a model trained on the owner own images. It places each tree on a map, gives a rough size, and marks likely issues such as dead or broken limbs, thin or brown canopy, leaning trunks, limbs over roads, roofs or lines, and damage around the base, and it tags each one with a photo. Comparing passes shows which trees are changing, which helps plan pruning, watering and planting by need instead of by calendar. Blur any person or plate before photos are stored. A certified arborist reviews the flags, checks the trees that matter most on site and decides what work to do. The model does not replace arborist checks, tree risk reviews or the rules for working near power lines, and people make every care and safety call.

## What this means in practice

- Start with one district, street list or campus.
- Label photos from your own trees for dead limbs, thin canopy, leaning trunks and base damage.
- Place each tree on a map with a photo.
- Blur people and plates before photos are stored.
- Have an arborist check flagged trees before work is scheduled.

## 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 brick, block or paver plant use computer vision to check product before it is cubed and shipped?](https://lidvizion.ai/answers/how-to-inspect-bricks-and-pavers-with-computer-vision/)
- [How can a facilities team or water treatment service use computer vision to check cooling towers between visits?](https://lidvizion.ai/answers/how-to-inspect-cooling-towers-with-computer-vision/)

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