This process is a demo for shape recognition and product sorting automation utilizing 2D vision and a deep learning algorithm (Instance Segmentation).

Because it performs tasks by recognizing product positions and types in real-time using 2D vision, it can automatically recognize and work even if product positions or types change.

Components

Robot

Robot Indy7: 6-axis collaborative robot, payload 7kg, maximum reach 1.3m, weight 28kg, repeatability: ± 0.1 mm

Workflow

STEP 1.Workpiece moves to a designated position on a conveyor belt.
STEP 2. Shape recognition of the object through deep learning.
STEP 3. Pick and place of the workpiece

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Shape Recognition and Sorting Automation using Neuromeka Indy7 and IndyEye

Implementing Company
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Estimated Project Duration
0week
Robot Model
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