Deep Learning Based Real Time Waste Segrgation Using Robotic Arm

This project automates the waste segregation process using deep learning and robotics. Waste materials are placed on a conveyor belt, identified in real-time using a YOLO-based object detection model, and sorted by a robotic arm controlled with Arduino and Raspberry Pi.

Technologies Used

• 🔍 Detection: YOLO Object Detection
• 🎛️ Controllers: Raspberry Pi 4B + Arduino UNO
• ⚙️ Mechanism: Conveyor Belt + Robotic Arm
• 🧠 Logic: Real-time classification and actuation
• 📦 Output: Waste is sorted into different bins

GitHub Repository

Project Report

Gallery