IDEAS home Printed from https://ideas.repec.org/a/eee/recore/v52y2007i2p266-285.html
   My bibliography  Save this article

Automatic multistage classification system for plastic bottles recycling

Author

Listed:
  • Tachwali, Y.
  • Al-Assaf, Y.
  • Al-Ali, A.R.

Abstract

In this work, an artificial intelligent plastic bottles classification system is proposed, developed and tested. Classifying bottles based on their chemical composition and color is attempted. Near infrared (NIR) reflectance measurements are used to identify bottle composition class. Charged coupled device (CCD) camera with the fusion of quadratic discriminant analysis (QDA) and tree classifiers are used to detect the bottle color.

Suggested Citation

  • Tachwali, Y. & Al-Assaf, Y. & Al-Ali, A.R., 2007. "Automatic multistage classification system for plastic bottles recycling," Resources, Conservation & Recycling, Elsevier, vol. 52(2), pages 266-285.
    • Handle: RePEc:eee:recore:v:52:y:2007:i:2:p:266-285
    DOI: 10.1016/j.resconrec.2007.03.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921344907000699
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resconrec.2007.03.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Subhajit Chatterjee & Debapriya Hazra & Yung-Cheol Byun & Yong-Woon Kim, 2022. "Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation," Mathematics, MDPI, vol. 10(9), pages 1-16, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:recore:v:52:y:2007:i:2:p:266-285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kai Meng (email available below). General contact details of provider: https://www.journals.elsevier.com/resources-conservation-and-recycling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.