Despite global efforts in the pursuit of sustainable waste management practices, significant gaps for improvement persist, as evidenced by Spain’s recycling rates lagging below European targets. As part of a larger initiative aiming to build an intelligent and collaborative environment to promote the Circular Economy, this paper investigates the potential of Image Classification in developing an intelligent assistant for waste disposal guidance. Tailored to Spain’s recycling framework, an analysis of different state-of-the-art Image Classification architecture’s performance on waste sorting is presented. Additionally, the paper explores aggregation techniques to enhance classification accuracy.

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Towards Sustainable Recycling: Advancements in AI-Based Waste Classification

  • O. Chacón-Albero,
  • M. Campos-Mocholí,
  • C. Marco-Detchart,
  • V. Julian,
  • J. A. Rincon,
  • V. Botti

摘要

Despite global efforts in the pursuit of sustainable waste management practices, significant gaps for improvement persist, as evidenced by Spain’s recycling rates lagging below European targets. As part of a larger initiative aiming to build an intelligent and collaborative environment to promote the Circular Economy, this paper investigates the potential of Image Classification in developing an intelligent assistant for waste disposal guidance. Tailored to Spain’s recycling framework, an analysis of different state-of-the-art Image Classification architecture’s performance on waste sorting is presented. Additionally, the paper explores aggregation techniques to enhance classification accuracy.