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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
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    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.

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