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Revolutionizing Waste Management: A Smart Materials Recovery Facilility With Robotic and AI Integration

Reza Javanmard Alitappeh, Mohammad Roudbari, Raeika Pourali, Ali Foladi

Year
2024
Citations
2

Abstract

This study takes on the challenge of growing urban waste and presents a ground-breaking waste management approach. By merging Robotics and Artificial Intelligence (AI) with traditional Dirty Materials Recovery Facilities (MRFs), our project revolutionizes waste separation. Our intelligent MRFs utilize state-of-the-art robotic arms controlled by the advanced YOLOv8x AI model trained with a custom dataset of garbage items, accurately identifying and sorting various materials such as glass, metal, biodegradable, plastic, and cardboard. The innovative combination of these technologies results in unparalleled precision and efficiency in waste disposal. Ultimately, our system streamlines recycling processes, promotes sustainable city living, and significantly reduces environmental harm.

Keywords

Computer scienceConstruction engineeringEngineeringSystems engineeringEnvironmental science

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