基于YOLOv5的消毒機(jī)器人目標(biāo)識(shí)別技術(shù)研究

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中圖分類號(hào)：R187 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：2095-2945（2025）13-0029-04

Abstract：Tosolve theproblemsof highcomputationalresources，longprocessng time，andlowrecognitionaccuracyin disinfectionrobottargetrecognitiontechnology，adisinfectionrobottargetrecognitiontechnologybasedonYOLOv5wasproposed. Thistechnologymainlyusesanovelconvolutional neural network（CNN）combinedwithamachinevisionsystem toachieve detection，clasificationndspatialpositionigofthtargetsinhedisifectionarearequiredbythedisinfeionobotough real-simulationexperimentsanddetectionresultanalysisontargetimagesindiferentpublicscenes，thismethodcanffectively realize therecognitionandpositioningof dsinfection targets.TheexperimentalresultsshowthatYOLOv5sandYOLOv5mithe YOLOv5seriesare both excelent pre-training models for targetdetection，andtheirapplicationscenariosare diferent.

Keywords：disinfection robot; target recognition;YOLOv5 algorithm;machine vision；model training

消毒機(jī)器人能夠在無人值守情況下進(jìn)行高效消毒，減少人為操作風(fēng)險(xiǎn)，是未來公共衛(wèi)生防控的重要手段。（剩余2787字）