Design a system that filters waste by detecting paper and putting it in the correct bin.

To design a system for filtering paper waste, we can leverage computer vision. Imagine a conveyor belt carrying mixed waste. A camera positioned above the belt captures images of the items. These images are then processed by a machine learning model trained to identify paper. Upon detection, the system triggers a mechanism, such as an robotic arm or a pneumatic actuator, to divert the paper into a designated bin. The system would require robust image processing, a well-trained classification model, and an efficient mechanical diversion component.