Artificial Intelligence in Waste Sorting: Advancing Recycling Processes in Greece Through Ai-Driven Solutions

Abstract

The integration of Artificial Intelligence (AI) in waste sorting presents a transformative opportunity to enhance recycling processes, addressing inefficiencies and environmental challenges. This study investigates the application of AI-driven technologies within Greece, focusing on improving material classification, reducing contamination, and optimizing waste management practices. By leveraging advanced image recognition, machine learning algorithms, and robotic systems, the research demonstrates AI's potential to overcome infrastructure deficiencies and high operational costs, while fostering sustainability. A comprehensive analysis identifies socio-economic and environmental benefits, evaluates current barriers, and proposes a scalable framework for AI implementation. The findings aim to guide policymakers, industry stakeholders, and environmental organizations in adopting AI as a pivotal tool for advancing waste management and achieving global sustainability targets.