Mixed Depalletizing

The PickOne Depalletizing System extends the power of PickOne for mixed depalletizing applications through image scanning and analysis. Analyzing 2D, 3D and AI data, PickOne determines robot commands at a depalletizing station handling packaging variety and overhangs with ease.

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How it Works

Step 01

When items are presented to the robot picking station in a pallet, the PickOne Perception Kit images the pallet.

Step 02

The PickOne software analyses the 2-D, 3-D, and AI data to identify each pickable item in the scene and assigns each one an associated confidence level.

Step 03

PickOne sends the robot controller an array of pick locations and poses for each pickable item via the PickOne API.

If no items in the scene have a high enough confidence, PickOne generates a Yonder request so that a Crew Chief can handle this exception by simply selecting an item in the scene to be picked.

In seconds, Yonder updates PickOne, and PickOne sends the data to the robot.

Step 04

In parallel, Yonder stores the Crew Chief’s responses, allowing the machine-learning algorithms to make the system smarter as it works. This ensures even higher performance over time.

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Mixed Depalletizing

 Brochure

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01 Key Benefits

  • Enhanced operational decision making (with Yonder*)
  • Promote associates from mundane tasks to value-added work
  • Reduce employee turnover by improving job satisfaction
  • Reduce per unit handling cost
  • Increase operator safety by removing repetitive stress injury application
  • Addresses key edge cases

02 Application

  • Cases
  • Boxes
  • Bags
  • Trays

03 Performance

  • Industry-leading pick command processing speed between 250-500 ms
  • Typical pick rates achieved: 350-650 cases per hour single pick and 700-1000 cases per hour multi-pick

Get Introduced to

Mixed Depalletizing

Understand how PickOne verifies placement and addresses errors by issuing robot commands to reposition errant items.

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