基于深度學(xué)習(xí)的車載垃圾圖像分類與識(shí)別系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)

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中圖分類號(hào)：U463.6 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1003-8639（2025）08-0086-03

【Abstract】 Urban domestic waste management is the main link that affcts the efciency of environment and resourceutilization，andthecurrent garbagecollctionvehicle mainlyreliesontheworkers toclasifythegarbage，which isineficient，theclassificationispronetoerrors，and therearerisksinthe working environmentoftheworkers.Theuse of imagerecognitiontechnologytoautomaticallyidentifythecategoryofgarbageisakeydirectiontoimprovethelevelof garbagedisposal intelligence，deeplearning technologycaneffectivelyidentifythecharacteristicsofobjectsinthepicture， andshow goodresultsinthe garbage imageclasification task.Therefore，thispaper discusses how todesignadep learning-basedautomaticgarbageimage clasificationandrecognitionsystem，inthe hopeof improvingtheeficiencyand accuracyof on-board garbageclassification.

【Key words】 deep learning； on-board garbage； image classificatior

0 引言

1車載垃圾圖像分類與識(shí)別系統(tǒng)的設(shè)計(jì)背景

城市每天產(chǎn)生大量生活垃圾，高效的分類處理對(duì)環(huán)境保護(hù)和資源回收至關(guān)重要。（剩余4143字）