Actuated Vacuum Tube Assembly for Capturing Non-Rigid Objects

The patent employs a vacuum tube assembly with multiple individually controllable vacuum tubes that use pneumatic suction to capture and transport materials. The system activates specific tubes based on real-time material detection, allowing precise control over which tubes engage with target objects. This pneumatic approach enables effective capture of non-rigid objects and small items that mechanical grippers cannot handle, while maintaining high sorting productivity through automated, rapid material removal.

The patent replaces human manual sorting with an automated robotic system that uses sensors, machine learning algorithms, and vacuum tube actuators to identify and remove target materials. The system incorporates continuous learning capabilities through machine learning models that improve sorting accuracy over time, providing adaptability previously only available with human sorters. This automation eliminates training requirements, reduces operational costs, and significantly increases productivity while maintaining the ability to adapt to different material types and sorting criteria.

The patent divides the vacuum assembly into multiple individually controllable vacuum tubes rather than using a single complex mechanism. Each tube can be independently activated, positioned, and controlled based on the location and characteristics of detected materials. This segmentation allows the system to handle diverse material types effectively while managing complexity through modular design and automated control algorithms that coordinate tube activation based on real-time sensor data.