Persons
Ing. Matěj Hužvár
All publications
Classification of silicate and organic fragments of construction and demolition waste using multisensor techniques
- Authors: Zbíral, T., Trejbal, J., Ing. Matěj Hužvár, doc. Ing. Stanislav Vítek, Ph.D., Nežerka, V., Valentin, J.
- Publication: Recycling 2024 - Cirkulární ekonomika ve stavebnictví, recyklace a využívání druhotných stavebních materiálů. Brno Technical University, 2024. p. 106-113. ISBN 978-80-214-6232-8.
- Year: 2024
- Department: Department of Radioelectronics
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Annotation:
Efficiently sorting individual materials from heterogeneous construction debris poses a persistent challenge in realizing the vision of a circular economy. This paper introduces a technology employing RGB cameras and mass sensors operating in 3D, for rapid and accurate classification of materials. Data is processed through specialized software leveraging extraction techniques, machine learning, and computer vision algorithms. Our technology achieves material determination accuracy ranging from 90% to 96%.
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
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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.
