AI-Powered Systems for Mineral Sorting and Separation

Dhanasekaran Pachiyannan, Raguvaran S., Saravanan Murugesan, R. Pavithra, Mohamed Yasin

Abstract


AI-powered systems are revolutionizing mineral sorting and separation processes in the mining industry. This paper examines the methodologies and technologies utilized in AI-driven sorting systems, focusing on their applications in optimizing resource recovery and enhancing operational efficiency. By presenting case studies, the paper highlights the benefits of employing AI in mineral sorting, including improved accuracy, reduced operational costs, and minimized environmental impact. Additionally, the challenges of integrating these systems into existing mining operations are discussed, along with future prospects for their advancement.

Keywords


AI, mineral sorting, separation, operational efficiency.

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