- Industry > Metal·Plastics
- Application > Sorting
- Sector > Manufacturing
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
- Robot
Robot: 3-Axis Delta Robot
High-speed parallel robot optimized for rapid pick-and-place operations.
Workflow
- STEP 1.
- Input of mixed waste piles.
- STEP 2.
- Recognition of targeted plastic objects.
- STEP 3.
- Picking and discharging the identified plastic products.
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