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A Distributed Architecture for Smart Recycling Using Machine Learning

Author

Listed:
  • Dimitris Ziouzios

    (Department of Electrical and Computer Engineering, University of Western Macedonia, 501 00 Kozani, Greece
    These authors contributed equally to this work.)

  • Dimitris Tsiktsiris

    (Department of Electrical and Computer Engineering, University of Western Macedonia, 501 00 Kozani, Greece
    These authors contributed equally to this work.)

  • Nikolaos Baras

    (Department of Electrical and Computer Engineering, University of Western Macedonia, 501 00 Kozani, Greece
    These authors contributed equally to this work.)

  • Minas Dasygenis

    (Department of Electrical and Computer Engineering, University of Western Macedonia, 501 00 Kozani, Greece
    These authors contributed equally to this work.)

Abstract

Recycling is vital for a sustainable and clean environment. Developed and developing countries are both facing the problem of solid management waste and recycling issues. Waste classification is a good solution to separate the waste from the recycle materials. In this work, we propose a cloud based classification algorithm for automated machines in recycling factories using machine learning. We trained an efficient MobileNet model, able to classify five different types of waste. The inference can be performed in real-time on a cloud server. Various techniques are described and used in order to improve the classification accuracy, such as data augmentation and hyper-parameter tuning. Multiple industrial stations are supported and interconnected via custom data transmission protocols, along with security features. Experimental results indicated that our solution can achieve excellent performance with 96.57% accuracy utilizing a cloud server.

Suggested Citation

  • Dimitris Ziouzios & Dimitris Tsiktsiris & Nikolaos Baras & Minas Dasygenis, 2020. "A Distributed Architecture for Smart Recycling Using Machine Learning," Future Internet, MDPI, vol. 12(9), pages 1-13, August.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:9:p:141-:d:403354
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    References listed on IDEAS

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    1. Elena Cristina Rada & Claudio Zatelli & Lucian Ionel Cioca & Vincenzo Torretta, 2018. "Selective Collection Quality Index for Municipal Solid Waste Management," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    2. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Alao, M.A., 2017. "Electricity generation from municipal solid waste in some selected cities of Nigeria: An assessment of feasibility, potential and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 149-162.
    3. Ying Zhang & Yimin Chen & Chen Huang & Mingke Gao, 2019. "Object Detection Network Based on Feature Fusion and Attention Mechanism," Future Internet, MDPI, vol. 11(1), pages 1-14, January.
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    Cited by:

    1. Meena Malik & Sachin Sharma & Mueen Uddin & Chin-Ling Chen & Chih-Ming Wu & Punit Soni & Shikha Chaudhary, 2022. "Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models," Sustainability, MDPI, vol. 14(12), pages 1-18, June.

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