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Automated warehouse sorting system with machine vision scanners
Case Study

Warehouse Vision & Sorting System

Machine-vision parcel recognition and automated sortation integrated with the existing WMS, handling peak-season volume without added headcount.

  • Computer Vision
  • Automation
  • WMS
  • Edge AI
Automated warehouse sorting system with machine vision scanners

  • 99.6%

    Sort accuracy

  • 12,400

    Parcels/hour

  • -29%

    Labour cost

The brief

Machine-vision parcel recognition and automated sortation integrated with the existing WMS, handling peak-season volume without added headcount.

Work was delivered in reviewed milestones with progress demonstrated at each stage. Documentation, training and a defined support SLA were included in handover, so the client’s own team could operate the system from day one.

Project details

  • ClientOrbital Logistics
  • CategoryAI & Machine Learning
  • Year2025
  • LocationColumbus, Ohio

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