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Advanced dataset acquisition for accurate classification of construction and demolition waste using machine learning

  • Authors: Zbíral, T., Nežerka, V., Trejbal, J., Ing. Matěj Hužvár, doc. Ing. Stanislav Vítek, Ph.D.,
  • Publication: Týdne výzkumu a inovací pro praxi a životní prostředí - TVIP Více zde: https://www.tretiruka.cz/konference/. Praha: CEMC - České ekologické manažerské centrum, 2023. ISBN 978-80-85990-41-6.
  • Year: 2023
  • Department: Department of Radioelectronics
  • Annotation:
    The dependable sorting of distinct materials from construction debris stands as a foundational element within the circular economy in construction industry. This paper introduces a technology that employs RGB cameras, mass, and acoustic sensors for material classification. By amalgamating these sensors and applying attribute extraction techniques such as shape indices, texture entropy, and intensity gradients, a comprehensive set of parameters is generated. These parameters facilitate accurate classification through the utilization of artificial intelligence.

Responsible person Ing. Mgr. Radovan Suk