首页|基于YOLO的电路板瑕疵检测技术分析

基于YOLO的电路板瑕疵检测技术分析

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阐述基于YOLO的电路板瑕疵小目标检测方法.电路板图像通过深层网络,多尺度下修改锚定框,能更好地检测小目标.实验表明,基于YOLO的电路板瑕疵小目标检测方法的平均精确率达到99.45%.
Analysis of Circuit Board Defect Detection Technology Based on YOLO
This paper expounds the YOLO based method for detecting small targets of circuit board defects.The circuit board image is modified at multiple scales through deep networks to better detect small targets.The experiment shows that the average accuracy of YOLO based circuit board defect small target detection method reaches 99.45% .

computer technologyobject recognitionYOLOdefect detection

吴慧君

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漳州职业技术学院 电子信息工程学院,福建 363000

计算机技术 目标识别 YOLO 瑕疵检测

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(5)