Spot damaged packages at the dock, not at the customer.

An example of how computer vision could turn a business challenge into a working process. This is a proposed scenario, not a published client engagement.

The challenge

Damaged or mislabelled packages are often found only after delivery, which leads to disputes and avoidable returns.

The approach

Cameras at an inbound or outbound checkpoint feed a vision model that flags visible damage and unreadable labels, captures image evidence, and opens an exception for a supervisor to confirm.

What we would measure

  • Detection quality across package types and lighting
  • False alerts per shift
  • Time to record and resolve exceptions
Targets and acceptance criteria would be agreed during discovery.

The proposed workflow

  1. 01Package passes the checkpoint camera
  2. 02Vision model flags visible damage or label issues
  3. 03Supervisor reviews the image evidence
  4. 04Exception logged in the WMS

Systems involved

Checkpoint camerasNIM vision modelsException queueWarehouse management system

How people stay in charge

  • Supervisor confirms each exception
  • Images retained per policy
  • Cameras scoped to packages, not people

Let’s build what matters

Book a call