/answers/how-to-inspect-building-exteriors-with-computer-vision/index.md · 42 lines
---
title: "How to inspect building exteriors with computer vision"
description: "Photos from a set walking round, a camera on a lift or a drone flown on a set path feed a model trained on the owner own images. It marks likely issues such as cracked or missing siding and panels, cracks or stains on walls, failed caulk and sealant around windows, broken or fogged glass, clogged or sagging gutters and downspouts, peeling paint, loose trim and damaged signs, and places each one on a drawing or photo of the building. Comparing one pass with the next shows which spots are getting worse, which helps plan repairs and budgets by need. Aim cameras at the building, avoid looking into windows, and blur any person or plate before photos are stored. A facilities lead reviews the flags and decides what to fix and when. The model does not replace required facade inspections, engineer reviews or safety rules for work at height, and people make every repair and safety call."
url: https://lidvizion.ai/answers/how-to-inspect-building-exteriors-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a property manager or building owner use computer vision to check walls, windows, gutters and other exterior parts?
Photos from a set walking round, a camera on a lift or a drone flown on a set path feed a model trained on the owner own images. It marks likely issues such as cracked or missing siding and panels, cracks or stains on walls, failed caulk and sealant around windows, broken or fogged glass, clogged or sagging gutters and downspouts, peeling paint, loose trim and damaged signs, and places each one on a drawing or photo of the building. Comparing one pass with the next shows which spots are getting worse, which helps plan repairs and budgets by need. Aim cameras at the building, avoid looking into windows, and blur any person or plate before photos are stored. A facilities lead reviews the flags and decides what to fix and when. The model does not replace required facade inspections, engineer reviews or safety rules for work at height, and people make every repair and safety call.
## What this means in practice
- Start with one building or one side of a campus.
- Label photos from your own buildings for cracks, failed sealant, gutter problems and loose parts.
- Take photos from the same spots each round.
- Avoid looking into windows and blur anyone who appears.
- Have a facilities lead review flags 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 food or consumer goods packer use computer vision to check seals on pouches and bags?](https://lidvizion.ai/answers/how-to-inspect-pouch-and-bag-seals-with-computer-vision/)
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