基于深度学习的智能垃圾分类系统设计研究

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中图分类号：TP18;TP391.41;X705 文献标识码：A文章编号：1672-3791（2026）01-0170-03

Research on the Design of an Intelligent Garbage Sorting System Based on Deep Learning

YAN Jiongbo1WANG Yuling² CHEN Xiaoming³ WANG Zhixin4

1.Hangzhou Beichenxin Technology Co.，Ltd.，Hangzhou， Zhejiang Province，3112oo China; 2.Zhejiang Suosi

Technology Co.，Ltd.，Wenzhou， Zhejiang Province，3250ooChina; 3.Dongtou District Big Data Management Center，Hangzhou， Zhejiang Province，3257Oo China; 4.Lucheng District Big Data Management Center， Wenzhou， Zhejiang Province，325ooo China

Abstract： Using deep learming technologyas thecore technology ofanintelligent garbage clasification system，image acquisition，garbage recognition，and automatic placement modules are setup.Basedon convolutional neural networks and transfer learning methods，a deep learning network model is constructed， which can achieve fast and accurate calculationof garbage featureson thebasisof compressed spaceandoccupation，effectively improving the accuracy of garbage recognition and clasification.The inteligent sorting garbage bin based on deep learning can givefull play tothe advantages of theabove-mentioned softwareand hardware technologies and algorithm models， automaticallycomplete the garbage identificationand sorting work，reducethe amount of manual work，and meet the requirements of intelligent social development in the new era.

Keywords： Deep learning; Garbage sorting; Intelligent; Image recognition

现代社会背景下，垃圾数量和种类持续增多，对垃圾进行针对性分类回收与处理，可以减轻对自然环境、城市发展的影响。（剩余3688字）