arXiv:2505.17493cs.CV2025-05被引 2

基于图像处理的电机控制板缺陷检测方法,准确率超99%。

Research on Defect Detection Method of Motor Control Board Based on Image Processing

  • 通过图像去噪与特征提取建立缺陷识别模型
  • 检测准确率达99%以上,适用于产线批量处理
  • 适合制造业在线质检及电路板缺陷分析

电机控制板存在颜色不一致、插件位置错误、焊点短路等多种缺陷,直接影响其性能与稳定性,进而影响产品质量。研究电机控制板缺陷检测技术是提升质量控制水平的重要手段。首先,研究了电机控制板数字图像的处理方法,分析了影响图像特征提取的噪声抑制方法;其次,建立了针对待测电机控制板缺陷特征提取与色差识别的具体模型,依据特征阈值判断产品是否合格;再次,优化了缺陷图像的搜索算法;最后,在典型电机控制板上开展对比实验,结果表明,本文建立的基于图像处理的电机控制板缺陷检测模型准确率超过99%,适用于生产线上大量电机控制板的实时图像处理,实现了高效缺陷检测。该方法不仅可用于电机控制板的在线检测,还可为行业集成电路板缺陷处理提供解决方案。

原文摘要 · Abstract (English)

The motor control board has various defects such as inconsistent color differences, incorrect plug-in positions, solder short circuits, and more. These defects directly affect the performance and stability of the motor control board, thereby having a negative impact on product quality. Therefore, studying the defect detection technology of the motor control board is an important means to improve the quality control level of the motor control board. Firstly, the processing methods of digital images about the motor control board were studied, and the noise suppression methods that affect image feature extraction were analyzed. Secondly, a specific model for defect feature extraction and color difference recognition of the tested motor control board was established, and qualified or defective products were determined based on feature thresholds. Thirdly, the search algorithm for defective images was optimized. Finally, comparative experiments were conducted on the typical motor control board, and the experimental results demonstrate that the accuracy of the motor control board defect detection model-based on image processing established in this paper reached over 99%. It is suitable for timely image processing of large quantities of motor control boards on the production line, and achieved efficient defect detection. The defect detection method can not only be used for online detection of the motor control board defects, but also provide solutions for the integrated circuit board defect processing for the industry.

缺陷检测图像处理工业质检视觉识别

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