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基于机器视觉的变速箱滚针轴承漏针检测研究
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国家重点研发计划资助项目(2018YFB0104600);安徽省科技重大专项(17030901062)


Defect Detection for Needle Roller Bearing of Gear Box Based on Machine Vision
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    摘要:

    滚针轴承是汽车变速箱的重要组成部件之一。针对变速箱中滚针轴承装配后的漏针检测需求,提出一种在线漏针检测方法。利用OpenCV开源视觉库和C++语言开发检测软件,运用机器视觉的相关理论,对图像进行了灰度处理、滤波、阈值分割等预处理,采用掩膜的方法提取出检测区域,对检测区域进行形态学处理,消除细小区域,最后用连通区域计数的方法得出准确的滚针数量。该方法提高了实际生产效率,有效降低工人误检率,提高生产线的自动化率。

    Abstract:

    Needle roller bearings are important components of automotive gearboxes. Aiming at the need of missing needle detection after assembly of needle roller bearings in gearbox, an online leak detection method was proposed. OpenCV open source visual library and C++ language were used to develop detection software. Machine vision related theory was used to make graying, filtering, threshold segmentation and other preprocessing for the image. Mask method was used to extract the detection area, morphological processing for the detection area was performed to eliminate small areas. Finally, the connected area counting method was to used calculate the exact number of needles.Using the method, the efficiency of actual production is improved, the false detection rate of workers is effectively reduced, and the automation rate of the production line is improved.

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任永强,李广涛,潘浩,张杰.基于机器视觉的变速箱滚针轴承漏针检测研究[J].机床与液压,2020,48(4):19-22.
. Defect Detection for Needle Roller Bearing of Gear Box Based on Machine Vision[J]. Machine Tool & Hydraulics,2020,48(4):19-22

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  • 在线发布日期: 2020-04-23
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