Detect damage to parcels and pallets by camera
Warehouses detect damage to parcels and pallets by camera
Fits: Logistics & warehousing
Damaged shipments are spotted at the dock door, with photo, time and carrier. That gives you the evidence for the claim, and you do not pass damaged goods on to customers.
Is this for you?
- Many shipments pass through your goods receipt or goods dispatch every day.
- Transport damage regularly leads to disputes with carriers, suppliers or customers because evidence is missing.
- There are fixed points that every pallet or parcel passes, such as the dock door, a conveyor belt or the stretch wrapper.
First step today
Today, photograph ten parcels or pallets in goods receipt from two sides, including some with damage such as crushed corners, tears in the film or wet patches. No people and no labels with names in the picture. Have the photos assessed with the template below and compare with your own assessment.
How to go about it
- Define types of damage and borderline cases
- Mount cameras at the dock door, belt or wrapper
- Collect and label damage photos
- Test the detection and set the threshold
- Link alerts to acceptance and claims
- Review false alarms and missed damage every week
Templates to copy
Try it now
in the trainingAnalyse
in the trainingPlan the rollout
in the trainingIncluded in the training
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
See the trainingOne-off per person, no subscription
Same approach, other use cases
24 more use cases follow the pattern “Inspecting by camera”.
Have AI estimate nutritional values from food photosIdentify plant diseases and pests from photosAnalyse match situations and movements on videoDetect forest damage by satellite and droneDetect missed scans and theft at self-checkoutsDetect missing protective equipment and hazards with camerasDocument construction defects and progress with photosFind heat losses in the district heating network by thermal imagingHave AI check fibre and mast installations by photoHave AI correct exercise technique via cameraIdentify animal species in camera trap and audio recordingsInspect products on the line by camera
LT-03 · Legal status 08.10.2026