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Computer Vision-Based Algorithms for Recognition of Construction and Demolition Waste Materials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00368862" target="_blank" >RIV/68407700:21110/23:00368862 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.4028/p-mj94xc" target="_blank" >https://doi.org/10.4028/p-mj94xc</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4028/p-mj94xc" target="_blank" >10.4028/p-mj94xc</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computer Vision-Based Algorithms for Recognition of Construction and Demolition Waste Materials

  • Original language description

    The construction industry generates a significant amount of waste, posing challenges for efficient waste management and resource recovery. this paper presents a preliminary study on the use of lightweight computer vision (cv) algorithms for the automatic recognition of construction and demolition waste (cdw) materials. utilizing image datasets acquired by drones, the study aims to develop strategies for distinguishing between individual cdw materials based on the mean intensity gradient, brightness, and relative representation of color channels. results indicate that the proposed method can effectively recognize crucial cdw materials, paving the way for potential applications in industry and geodesy. further research is needed to test additional materials and metrics to refine the method for practical implementation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

Result continuities

  • Project

    <a href="/en/project/SS03010302" target="_blank" >SS03010302: Development of efficient tools to minimize production of construction and demolition waste, its monitoring and reuse</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Science and Technology

  • ISBN

  • ISSN

    1662-8969

  • e-ISSN

    1662-0356

  • Number of pages

    7

  • Pages from-to

    11-17

  • Publisher name

    Trans Tech Publications Ltd

  • Place of publication

    Durnten-Zurich

  • Event location

    Brunel University London-UK

  • Event date

    Jul 11, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article