This project develops an advanced computer vision system using Raspberry Pi and YOLOv11 neural network to detect and segment trash objects in real-time through camera feed. The system provides pixel-perfect segmentation masks with visual overlays, making it ideal for waste management applications, environmental monitoring, and recycling automation. Students will learn to implement deep learning models on edge devices while contributing to environmental sustainability through intelligent waste detection.

Documentation

Model: https://drive.google.com/drive/folders/1qlNphAlYMQ1DBZ7Amcx2uUNI4cQ0TOQ7?usp=drive_link