Process Overview
This solution is an automated sorting system that combines QRS 2D/3D vision inspection with a DENSO VS robot to pick randomly placed gears, inspect gear tooth geometry, and separate OK parts from NG parts.
With QRS’s in-house vision technology, the system can be tuned and customized to match specific site conditions, enabling precise inspection across various gear shapes and models.
This project was implemented to automate the inspection process after bin picking.
Components
| Robot |
|
|---|---|
| Peripherals |
|
Workflow
| STEP 1. | Detect the target gear in a randomly stacked bin using 3D vision |
|---|---|
| STEP 2. | pick the detected gear and perform OK/NG inspection using 2D vision |
| STEP 3. | unload and sort to designated locations based on the inspection result |
※ 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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Process Overview
This solution is an automated sorting system that combines QRS 2D/3D vision inspection with a DENSO VS robot to pick randomly placed gears, inspect gear tooth geometry, and separate OK parts from NG parts.
With QRS’s in-house vision technology, the system can be tuned and customized to match specific site conditions, enabling precise inspection across various gear shapes and models.
This project was implemented to automate the inspection process after bin picking.
Components
| Robot |
|
|---|---|
| Peripherals |
|
Workflow
| STEP 1. | Detect the target gear in a randomly stacked bin using 3D vision |
|---|---|
| STEP 2. | pick the detected gear and perform OK/NG inspection using 2D vision |
| STEP 3. | unload and sort to designated locations based on the inspection result |
※ 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.










