- Industry > Metal·Plastics
- Industry > Electronics
- Application > Sorting
- Sector > Manufacturing
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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