/answers/how-to-compare-move-in-and-move-out-photos-with-computer-vision/index.md · 42 lines
---
title: "How to compare move-in and move-out photos with computer vision"
description: "Start with a standard photo checklist for each room, taken from the same spots at move-in and move-out, so the images can be matched. Computer vision pairs each move-out photo with its move-in version, highlights visible differences such as marks, stains, holes, broken fixtures or missing items, and labels each one with the room and location. A property manager reviews every highlighted change in person or against the photos, separates normal wear from damage under the lease and local rules, and shares the findings and photos with the tenant before any deduction from a deposit."
url: https://lidvizion.ai/answers/how-to-compare-move-in-and-move-out-photos-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a property manager or landlord use computer vision to compare move-in and move-out photos and document changes fairly?
Start with a standard photo checklist for each room, taken from the same spots at move-in and move-out, so the images can be matched. Computer vision pairs each move-out photo with its move-in version, highlights visible differences such as marks, stains, holes, broken fixtures or missing items, and labels each one with the room and location. A property manager reviews every highlighted change in person or against the photos, separates normal wear from damage under the lease and local rules, and shares the findings and photos with the tenant before any deduction from a deposit.
## What this means in practice
- Use a standard photo checklist from the same spots each time.
- Pair each move-out photo with its move-in version.
- Highlight visible differences with room and location.
- Have a property manager separate normal wear from damage.
- Share findings and photos with the tenant before any deduction.
## 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 Computer vision
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- [How can a fleet, rental or dealership business use computer vision to record vehicle damage at handover and return?](https://lidvizion.ai/answers/how-to-check-vehicles-for-damage-with-computer-vision/)
- [How can a warehouse or carrier use computer vision at the loading dock to record damage to pallets and packages for claims and disputes?](https://lidvizion.ai/answers/how-to-document-freight-damage-with-computer-vision/)
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