基于YOLOv5的消毒机器人目标识别技术研究

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中图分类号：R187 文献标志码：A 文章编号：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

消毒机器人能够在无人值守情况下进行高效消毒，减少人为操作风险，是未来公共卫生防控的重要手段。（剩余2787字）