This solution utilizes 2D Vision, Deep Learning (Instance Segmentation), Reinforcement Learning (RL), and Motion Planning (OMPL) algorithms to rapidly recognize and sort recyclable plastics on a moving conveyor belt.
The system features high-performance vision capable of quickly identifying objects even with highly irregular shapes. Through advanced motion planning, it executes sorting tasks with exceptional speed and precision.
Components
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Workflow
| STEP 1. | Input of mixed waste piles. |
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| STEP 2. | Recognition of targeted plastic objects. |
| STEP 3. | Picking and discharging the identified plastic products. |
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Recyclable Plastic Sorting using Delta Robots and Deep Learning
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- Estimated Project Duration
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- Robot Model
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