A Research on Intelligent Classification of Urban Trash Bins Based on Machine Learning

DOI

Description

Aiming at the problems of inaccurate, insensitive and general performance of the current intelligent garbage sorting bins, an intelligent garbage sorting bin based on machine vision is proposed. The trash can is mainly divided into five modules: main control module, machine vision module, classification module, overflow reminder module, and Wi-Fi Internet of Things module. The trash can uses convolutional neural networks to build an intelligent garbage classification model and classification algorithm to achieve rapid and accurate garbage classification. This experiment will be based on the identification of waste bottles, analyze the recognition characteristics of machine vision, and then propose methods to improve the accuracy of recognition.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390288225751689344
  • DOI
    10.5954/icarob.2021.os12-16
  • ISSN
    21887829
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
  • Abstract License Flag
    Disallowed

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