IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15987-d988889.html
   My bibliography  Save this article

An Intelligent Waste-Sorting and Recycling Device Based on Improved EfficientNet

Author

Listed:
  • Zhicheng Feng

    (Department of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Jiangxi Provincial Key Laboratory of Maglev Technology, Ganzhou 341000, China)

  • Jie Yang

    (Department of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Ganjiang Innovation Academy, Chinese Academy of Sciences, Ganzhou 341000, China)

  • Lifang Chen

    (Department of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Zhichao Chen

    (Department of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Jiangxi Provincial Key Laboratory of Maglev Technology, Ganzhou 341000, China)

  • Linhong Li

    (Department of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Jiangxi Provincial Key Laboratory of Maglev Technology, Ganzhou 341000, China)

Abstract

The main source of urban waste is the daily life activities of residents, and the waste sorting of residents’ waste is important for promoting economic recycling, reducing labor costs, and protecting the environment. However, most residents are unable to make accurate judgments about the categories of household waste, which severely limits the efficiency of waste sorting. We have designed an intelligent waste bin that enables automatic waste sorting and recycling, avoiding the extensive knowledge required for waste sorting. To ensure that the waste-classification model is high accuracy and works in real time, GECM-EfficientNet is proposed based on EfficientNet by streamlining the mobile inverted bottleneck convolution (MBConv) module, introducing the efficient channel attention (ECA) module and coordinate attention (CA) module, and transfer learning. The accuracy of GECM-EfficientNet reaches 94.54% and 94.23% on the self-built household waste dataset and TrashNet dataset, with parameters of only 1.23 M. The time of one recognition on the intelligent waste bin is only 146 ms, which satisfies the real-time classification requirement. Our method improves the computational efficiency of the waste-classification model and simplifies the hardware requirements, which contributes to the residents’ waste classification based on intelligent devices.

Suggested Citation

  • Zhicheng Feng & Jie Yang & Lifang Chen & Zhichao Chen & Linhong Li, 2022. "An Intelligent Waste-Sorting and Recycling Device Based on Improved EfficientNet," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15987-:d:988889
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15987/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15987/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qing Yang & Lingmei Fu & Xingxing Liu & Mengying Cheng, 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China," IJERPH, MDPI, vol. 15(11), pages 1-23, November.
    2. Decai Tang & Lei Shi & Xiaojuan Huang & Ziqian Zhao & Biao Zhou & Brandon J. Bethel, 2022. "Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai," IJERPH, MDPI, vol. 19(11), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ying Zhan & Yue Sun & Junfei Xu, 2023. "A Study on the Recycling Classification Behavior of Express Packaging Based on UTAUT under “Dual Carbon” Targets," Sustainability, MDPI, vol. 15(15), pages 1-22, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kamel Mouloudj & Anuli Njoku & Dachel Martínez Asanza & Ahmed Chemseddine Bouarar & Marian A. Evans & Smail Mouloudj & Achouak Bouarar, 2023. "Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(16), pages 1-18, August.
    2. Qing Yang & Chen Zuo & Xingxing Liu & Zhichao Yang & Hui Zhou, 2020. "Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning," IJERPH, MDPI, vol. 17(9), pages 1-23, May.
    3. Dongxu Qu & Tetiana Shevchenko & Zahra Shams Esfandabadi & Meisam Ranjbari, 2023. "College Students’ Attitude towards Waste Separation and Recovery on Campus," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    4. Jean Pierre Doussoulin & Cristian Colther, 2022. "Evaluating the Efficiency of Municipal Solid Waste Collection Services in Developing Countries: The Case of Chile," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    5. Ismaila Rimi Abubakar & Khandoker M. Maniruzzaman & Umar Lawal Dano & Faez S. AlShihri & Maher S. AlShammari & Sayed Mohammed S. Ahmed & Wadee Ahmed Ghanem Al-Gehlani & Tareq I. Alrawaf, 2022. "Environmental Sustainability Impacts of Solid Waste Management Practices in the Global South," IJERPH, MDPI, vol. 19(19), pages 1-26, October.
    6. Xuxi Wang & Jing Tan, 2022. "The Perception and Attitude of Farmers toward Domestic Waste Classifications: A Case Study on Wusheng County, Sichuan Province, China," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    7. Nor Isnaeni Dwi Arista & Dwini Handayani & Ninin Ernawati, 2023. "Is It Possible to Implement the Same Circular-Economy Concept in Rural and Urban Areas? Study on Willingness to Pay for Household Waste," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    8. Llanquileo-Melgarejo, Paula & Molinos-Senante, María, 2022. "Assessing eco-productivity change in Chilean municipal solid waste services," Utilities Policy, Elsevier, vol. 78(C).

    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:gam:jijerp:v:19:y:2022:i:23:p:15987-:d:988889. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.