Study on the Potential of Vision-Based Sorting to Improve the Separation Rate of Eddy Current Separator

Diagy Alwan Irsyad, Radon Dhelika

Research output: Contribution to journalConference articlepeer-review

Abstract

This study aims to explore the potential of vision-based sorting techniques in improving the separation rate of the eddy current separator. By combining the principles of eddy current separation and machine vision, this study aims to overcome the limitations of traditional separators and enhance the efficiency of separating nonferrous metallic particles from crushed e-waste. The findings from this study could contribute to advancements in the field of material separation and provide insights for developing more efficient and effective recycling processes.

Original languageEnglish
Article number040007
JournalAIP Conference Proceedings
Volume3215
Issue number1
DOIs
Publication statusPublished - 25 Nov 2024
Event18th International Conference on Quality in Research, QiR 2023 - Bali, Indonesia
Duration: 23 Oct 202325 Oct 2023

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