/answers/how-to-document-freight-damage-with-computer-vision/index.md · 42 lines
---
title: "How to document freight damage with computer vision"
description: "Start with one dock and one moment that matters, such as receiving inbound loads or releasing outbound ones, and fix how images are taken, from a camera over the dock door or a phone photo routine for each pallet. Computer vision looks for visible damage such as crushed corners, torn wrap, leaning stacks or wet cartons, and links each image to the shipment, time and door. A receiver confirms or rejects each flag before anything is noted on the delivery paperwork or a claim is raised, and confirmed images are kept with the shipment record and used to improve the model."
url: https://lidvizion.ai/answers/how-to-document-freight-damage-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a warehouse or carrier use computer vision at the loading dock to record damage to pallets and packages for claims and disputes?
Start with one dock and one moment that matters, such as receiving inbound loads or releasing outbound ones, and fix how images are taken, from a camera over the dock door or a phone photo routine for each pallet. Computer vision looks for visible damage such as crushed corners, torn wrap, leaning stacks or wet cartons, and links each image to the shipment, time and door. A receiver confirms or rejects each flag before anything is noted on the delivery paperwork or a claim is raised, and confirmed images are kept with the shipment record and used to improve the model.
## What this means in practice
- Start with one dock and one moment, such as inbound receiving.
- Fix how images are taken for each pallet or load.
- Flag visible damage and link images to shipment, time and door.
- Have a receiver confirm flags before paperwork notes or claims.
- Keep confirmed images with the shipment record.
## 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
- [How can a warehouse, store or plant use existing cameras to notice spills, leaks and blocked walkways or exits sooner?](https://lidvizion.ai/answers/how-to-spot-spills-leaks-and-blocked-exits-with-computer-vision/)
- [How can a hauler, city or sorting facility use computer vision to spot the wrong items in recycling before they cause problems?](https://lidvizion.ai/answers/how-to-detect-recycling-contamination-with-computer-vision/)
- [How can a farm or grower use computer vision on field, greenhouse or drone images to spot crop problems early?](https://lidvizion.ai/answers/how-to-check-crop-health-with-computer-vision/)
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