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基于深度学习的垃圾分类识别小程序的设计与实现

吴明珠

现代信息科技2024,Vol.8Issue(18):75-82,8.
现代信息科技2024,Vol.8Issue(18):75-82,8.DOI:10.19850/j.cnki.2096-4706.2024.18.015

基于深度学习的垃圾分类识别小程序的设计与实现

Design and Implementation of a Garbage Classification Recognition Mini Program Based on Deep Learning

吴明珠1

作者信息

  • 1. 广州工程技术职业学院 信息工程学院,广东 广州 510075
  • 折叠

摘要

Abstract

With the acceleration of urbanization process,the problem of garbage classification is becoming increasingly prominent.The paper designs and implements a garbage classification recognition Mini Program based on Deep Learning to improve the efficiency and accuracy of garbage classification.This program can perform garbage classification queries through three methods of text search,voice search,and photo recognition.It can improve residents'knowledge of garbage classification through personal sharing and online Q&A.The experimental results show that the program has high recognition accuracy and real-time performance,and can provide effective technical support for urban garbage classification.

关键词

深度学习/垃圾分类/搜索/识别

Key words

Deep Learning/garbage classification/search/identification

分类

信息技术与安全科学

引用本文复制引用

吴明珠..基于深度学习的垃圾分类识别小程序的设计与实现[J].现代信息科技,2024,8(18):75-82,8.

基金项目

2023年广州市教学成果培育项目(2023128737) (2023128737)

广州市教学名师项目(2022JXMS021) (2022JXMS021)

2023年广东省高职院校课程思政示范课程(KCSZ04168) (KCSZ04168)

广州市高校课程思政示范课程项目(2023KCSZ059) (2023KCSZ059)

现代信息科技

2096-4706

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