Process layout
Project Overview
This solution utilizes the Pickit 3D Vision for bin picking and robot guidance. Without 3D vision, approximately 10% of parts fall over or shift during internal transport, making it impossible for the robot to pick them from their original positions. The Pickit 3D vision system enables the robot to detect, extract, and place parts even when they are oriented in specific directions.
Project Background & Objectives
Automated Picking: Enabling the robot to pick items without manual re-alignment by humans.
Consistent Dispensing: Maintaining uniform application tasks even if the position of heavy workpieces shifts.
Defect Minimization: Minimizing the defect rate through precise positioning.
Components
| Robot | 3D Vision PerformancePickit L
Pickit M-HD
Pickit L-HD
|
|---|
Workflow
| STEP 1. | Workpiece Recognition: Detect the workpiece using the camera. |
|---|---|
| STEP 2. | Robot Picking: The robot picks up the object. |
| STEP 3. | Transfer: Move the object to the target location. |
| STEP 4. | Re-recognition: Re-detect the workpiece using the camera if necessary. |
Features
Improved Work Productivity
Enhances operational efficiency and accuracy.
Enables the establishment of flexible production lines.
Optimized Motion Performance
Performs optimal pick-and-place based on detected information.
Executes optimal picking even if the position of parts shifts during transport.
Results
| Key Benefits | Fast and accurate object recognition with 3D positioning and volume measurement.
Easy and rapid picking from semi-aligned bins or pallets. |
|---|---|
| Client Feedback | "Previously, when items tipped over while being transported on the conveyor, a person had to manually re-align them. Now, since the robot can recognize and pick them up on its own, our labor costs have decreased." |
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