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Updated: Sep 18, 2025

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基于红外成像和改进的YOLOv8的光伏面板缺陷检测算法

Jingdong Wang1, Zhu Cheng1

  • 1School of Computer Science, Northeast Electric Power University, Jilin, Jilin, China.

PeerJ. Computer science
|June 26, 2025
PubMed
概括

这项研究通过使用改进的YOLOv8模型和先进的计算机视觉技术来增强光伏面板缺陷检测. 这种新方法显著提高了工业太阳能电池板检查的检测准确度和召回率.

关键词:
深度学习是一种深度学习.缺陷检测 检测缺陷检测 检测缺陷检测红外图像的红外图像.太阳能电池板的光伏电池板是什么意思这就是YOLOv8的意义.

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