This project is an integrated system that combines a camera, electronic hardware (Arduino and Raspberry Pi), and a conveyor belt to automate waste processing.
The system employs computer vision techniques to detect and classify garbage in real time. The image classification algorithm, developed in Python and deployed on the Raspberry Pi, evaluates different AI models—applying fine-tuning techniques to enhance performance.
Based on the classification results, an Arduino-controlled setup directs servo motors to execute specific actions for effective waste segmentation on the conveyor belt.