A Smart Recycling Bin for Waste Classification

被引:19
|
作者
Ziouzios, Dimitris [1 ]
Dasygenis, Minas [1 ]
机构
[1] Univ Western Macedonia, Elect & Comp Engn, Kozani, Greece
关键词
Smartbin; Recycling; LoRa; Raspberry Pi; embedded system;
D O I
10.1109/pacet48583.2019.8956270
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As there is an obvious and increasing need to preserve valuable resources and reduce waste and pollution, several researches are focusing into this area. However, the solutions provided are neither budget-friendly nor effective to be practical in a real-world application. In this paper, we present a Smart Recycling Bin using modern approaches for waste classification. The design of the system permits the low-cost manufacturing of the final product, while uses state of the art technologies such as neural networks and the LoRaWAN protocol. We implemented a low-cost Smart Bin prototype able to classify different types of waste with an accuracy of 92.1%. The system also remotely transmits valuable data to the corresponding authorities, which can increase their effectiveness in waste management.
引用
收藏
页码:145 / 148
页数:4
相关论文
共 50 条
  • [31] Smart Recycle Bin A Conceptual Approach of Smart Waste Management with Integrated Web based System
    Abd Wahab, Mohd Helmy
    Kadir, Aeslina Abdul
    Tomari, Mohd Razali
    Jabbar, Mohamad Hairol
    2014 INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS), 2014,
  • [32] Real-time smart garbage bin mechanism for solid waste management in smart cities
    Abuga, Dominic
    Raghava, N. S.
    SUSTAINABLE CITIES AND SOCIETY, 2021, 75
  • [33] Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron
    Gondal, Ali Usman
    Sadiq, Muhammad Imran
    Ali, Tariq
    Irfan, Muhammad
    Shaf, Ahmad
    Aamir, Muhammad
    Shoaib, Muhammad
    Glowacz, Adam
    Tadeusiewicz, Ryszard
    Kantoch, Eliasz
    SENSORS, 2021, 21 (14)
  • [34] Monitoring household waste recycling centres performance using mean bin weight analyses
    Maynard, Sarah
    Cherrett, Tom
    Waterson, Ben
    WASTE MANAGEMENT, 2009, 29 (02) : 614 - 620
  • [35] Design and Development of Smart Trash Bin Prototype for Municipal Solid Waste Management
    Maulana, Feisal Ramadhan
    Widyanto, Theo Adhitya S.
    Pratama, Yudi
    Mutijarsa, Kusprasapta
    2018 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS), 2018, : 152 - 157
  • [36] Waste Collection Vehicle Routing Using Smart Reports on the Utilization of Bin Capacities
    Zapletal, Frantigek
    Kozel, Petr
    Chytilova, Lucie
    40TH INTERNATIONAL CONFERENCE MATHEMATICAL METHODS IN ECONOMICS 2022, 2022, : 411 - 417
  • [37] A flexible waste bin number allocation plan applied to waste transportation electric fleets in smart cities
    Su, Shuotong
    Hu, Jiawen
    Li, Wenjun
    Esztergar-Kiss, Domokos
    Zhou, Tuqiang
    SUSTAINABLE CITIES AND SOCIETY, 2025, 121
  • [38] Catalyzing Domestic Waste Management: A Deep Learning and IoT Enabled Smart Bin
    Swathika, R.
    Raghavan, Srinivasan
    Radha, N.
    Chellakumar, Subhalakshmi
    2024 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS, ICICI 2024, 2024, : 279 - 285
  • [39] Analysis and Suggestions on Classification and Recycling of Urban Domestic Waste
    Li, Kelin
    6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2021, 647
  • [40] Recycling household waste: A classification of the logistics used by consumers
    Monnot, Elisa
    Reniou, Fanny
    Rouquet, Aurelien
    RECHERCHE ET APPLICATIONS EN MARKETING-ENGLISH EDITION, 2014, 29 (03): : 75 - 97