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 language | English |
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Article number | 040007 |
Journal | AIP Conference Proceedings |
Volume | 3215 |
Issue number | 1 |
DOIs | |
Publication status | Published - 25 Nov 2024 |
Event | 18th International Conference on Quality in Research, QiR 2023 - Bali, Indonesia Duration: 23 Oct 2023 → 25 Oct 2023 |