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  4. Classification of black plastic using active thermography
 
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2024
Conference Paper
Title

Classification of black plastic using active thermography

Abstract
Sustainability is undoubtedly one of the most important goals in modern society and has a major impact on economic and political decisions. One of the strategies towards sustainability is the European Green Deal. A key policy initiative that determines the regulatory landscape supporting the European Green Deal is the Circular Economy Action Plan (CEAP) (EC, 2020), whose objective is to reduce the EU’s consumption footprint and double its circular material use rate in the coming decade, while boosting economic growth. Specific actions were launched in several areas, including electronics and ICT1, packaging, plastics and textiles. An important segment of a circular economy, especially in waste management, is the sorting and recycling of materials. To raise levels of high-quality recycling, improvements are needed in waste collection and sorting. The sensor systems currently available on the market for sorting plastics in waste management largely rely on near-infrared (NIR) and short-wave infrared (SWIR). However, the sorting of black plastics, including those manufactured in the automotive field, remains problematic with these systems. The task of sorting these black plastics from the shredder light fraction poses a demanding challenge to sorters.
Author(s)
Schmitz, Kevin  orcid-logo
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Shpakova, Nina
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Keller, Andreas  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Netzelmann, Udo  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Mainwork
SBSC 2024, 10th Sensor-Based Sorting & Control  
Conference
Conference "Sensor-Based Sorting & Control" 2024  
Open Access
File(s)
Download (880.07 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-2861
Language
English
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Keyword(s)
  • machine learning

  • recycling

  • sorting black plastic

  • thermography

  • waste management

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