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Magnetic Ring Multi-Defect Stereo Detection System Based on Multi-Camera Vision Technology

机译:基于多相机视觉技术的磁环多缺陷立体声检测系统

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摘要

Magnetic rings are the most widely used magnetic material product in industry. The existing manual defect detection method for magnetic rings has high cost, low efficiency and low precision. To address this issue, a magnetic ring multi-defect stereo detection system based on multi-camera vision technology is developed to complete the automatic inspection of magnetic rings. The system can detect surface defects and measure ring height simultaneously. Two image processing algorithms are proposed, namely, the image edge removal algorithm (IERA) and magnetic ring location algorithm (MRLA), separately. On the basis of these two algorithms, connected domain filtering methods for crack, fiber and large-area defects are established to complete defect inspection. This system achieves a recognition rate of 100% for defects such as crack, adhesion, hanger adhesion and pitting. Furthermore, the recognition rate for fiber and foreign matter defects attains 92.5% and 91.5%, respectively. The detection speed exceeds 120 magnetic rings per minutes, and the precision is within 0.05 mm. Both precision and speed meet the requirements of real-time quality inspection in actual production.
机译:磁环是工业中最广泛使用的磁性材料产品。现有的手动缺陷检测方法具有高成本,效率低,精度低。为了解决这个问题,开发了一种基于多摄像机视觉技术的磁环多缺陷立体声检测系统,以完成磁环的自动检查。系统可以同时检测表面缺陷和测量环高度。提出了两个图像处理算法,即图像边缘去除算法(IALA)和磁环位置算法(MRLA),分别。在这两种算法的基础上,建立了裂缝,光纤和大面积缺陷的连接域过滤方法以完成缺陷检测。该系统识别率为100%的缺陷,例如裂缝,粘附,衣架粘附和点蚀。此外,纤维和异物缺陷的识别率分别达到92.5%和91.5%。检测速度超过120磁环每分钟,精度在0.05毫米。精度和速度均满足实际生产中实时质量检测的要求。

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