Automated Depalletizing
The PickOne Depalletizing System extends the power of PickOne for mixed automated depalletizing system applications through image scanning and analysis. Analyzing 2D, 3D and AI data, PickOne automated depalletizing systems determine robot commands at a depalletizing station handling packaging variety and overhangs with ease.
How it Works
When items are presented to the robot picking station in a pallet, the PickOne Perception Kit images the pallet.
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.
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.
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.