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Conclusion of AI Technologies for Enhancing Recycling Processes
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Author(s): Sourav Chattaraj (Siksha ‘O' Anusandhan University (Deemed), India), Debasis Mitra (Graphic Era University (Deemed), India), Ayush Madan (People's University, India & Universiti Malaysia Terengganu, Malaysia), Marika Pellegrini (University of L'Aquila, Italy)and Tanupriya Choudhury (University of Petroleum and Energy Studies, Dehradun, India)
Copyright: 2025
Pages: 6
Source title:
AI Technologies for Enhancing Recycling Processes
Source Author(s)/Editor(s): Debasis Mitra (Graphic Era University (Deemed), India), Tanupriya Choudhury (University of Petroleum and Energy Studies, Dehradun, India), Ayush Madan (Universiti Malaysia Terengganu, Malaysia), Sourav Chattaraj (Siksha ‘O’ Anusandhan University (Deemed), India)and Marika Pellegrini (University of L'Aquila, Italy)
DOI: 10.4018/979-8-3693-7282-1.ch022
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Abstract
The integration of artificial intelligence (AI) in recycling is revolutionizing waste management. By leveraging machine learning, computer vision, and robotics, AI enhances efficiency, accuracy, and sustainability. AI systems improve material sorting by accurately identifying and separating recyclables, reducing contamination, and maximizing recovery rates. Automation streamlines the process, reduces dependency on manual labor, and cuts costs. Predictive maintenance extends machinery lifespan, minimizing downtime and enhancing economic viability. Moreover, AI ensures higher-quality recycled materials through better sorting, supporting valuable recycled products and promoting a circular economy. However, challenges such as high initial costs, ongoing maintenance, and a skilled workforce shortage persist. Addressing these obstacles is crucial for fully harnessing AI's potential in recycling. Future innovations like waste-to-energy solutions and advanced waste tracking systems offer further opportunities.
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