- Dataset containing:
- RGB images with plastic packaging items as classes (such as bottles, bags, trays, pots, and tubs).
- Hyperspectral images with seven plastic types as classes: PET, PE-HD, PVC, PE-LD, PP, PS, O.
- Demonstration setup. Consists of:
- Sensors.
- RGB camera.
- Hyperspectral camera.
- Manipulator.
- Delta, articulated, or SCARA.
- Gripper.
- Vacuum suction (single cup or an array with level compensation).
- Conveyor belt
- Sensors.
Expected functional flow:
- A bulk of plastic waste moves on the conveyor belt passing hyperspectral and RGB cameras towards the robot.
- The object detection model detects individual plastic items.
- The classification model classifies each plastic item.
- The command server creates a pick-and-place task for the robot based on the detection and classification models' outcomes.
- The robot executes the pick and place task and moves plastic items from the belt to relevant bins.