Material sorting using hyperspectral imaging for biocomposite recycling

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

    Abstract

    The impending exhaustion of non-renewable natural resources emphasizes the importance of sustainable materials. One environmentally friendlier alternative to plastics are biocomposite materials, which are composed of recycled or virgin polymer and a natural fiber material. In order to be to be truly sustainable, the material has to be efficiently recycled, a task which demands a means for their sorting. This paper outlines a method for distinguishing different plastic and biocomposite samples from one another based on hyperspectral imaging. The developed regression model correctly classified 96 % of the samples in the dataset. In the case of biocomposite samples, the accompanying polymer was quite accurately recognized.
    Original languageEnglish
    Title of host publication4th International Conference on Natural Fibers – Smart Sustainable Solutions, ICNF 2019
    Subtitle of host publicationBook of Abstracts
    EditorsRaul Fanguiero
    PublisherUniversidade do Minho
    Pages250-251
    ISBN (Electronic)978-972-8600-30-3
    Publication statusPublished - 2019
    MoE publication typeNot Eligible

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