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February 19, 2026BHM Berg- und Hüttenmännische MonatshefteOpen Access

Sensor-based Sorting as a Key Enabler for Efficient Recycling and Recovery of Secondary Raw Materials—Insights from Case Studies

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Authors

ATAlexia Tischberger-AldrianMontanuniversität LeobenHWHannah WeberMontanuniversität LeobenGKGerald KoinigMontanuniversität Leoben

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Implication

Case studies show sensor-based sorting enhances recycling quality in various waste streams, suggesting significant benefits for circular economies.

Key Points

  • This research aims to explore the role of sensor-based sorting technologies in improving recycling efficiency and quality of secondary raw materials.
  • Case studies of four projects focusing on different waste streams
  • Implementation of AI-based detection and sorting systems
  • Analysis of sorting efficiency and material quality improvements
  • Development of networked sensor systems for process control
  • Achieved over 99.9% separation efficiency of copper from steel scrap
  • Successful recycling of polypropylene from mixed waste into end products
  • Provided high-quality sorting for post-consumer textiles using automated systems
  • Demonstrated potential for multi-sensor solutions in sorting diverse materials

Cite This Study

Tischberger-Aldrian et al. (2026) studied this question.

synapsesocial.com/papers/6996a8c7ecb39a600b3efc93https://doi.org/10.1007/s00501-026-01708-7
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Also Consider

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  1. 1A Survey of the State of the Art in Sensor-Based Sorting Technology and Research2024 · 40 citations
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  3. 3Thermodynamic Analysis of Contamination by Alloying Elements in Aluminum Recycling2010 · 169 citations
  4. 4Recycling Practices of Spent MgO-C Refractories2002 · 46 citations