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 |
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
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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 |
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.