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A glass thickness measuring system using the machine vision method

机译:使用机器视觉方法的玻璃厚度测量系统

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摘要

This paper describes a measuring device of glass thickness using machine vision and image processing techniques on realtime sampling process. Recently, the machine vision enables to inspect fast and exact solution than human’s eyes. This system has advantages of continuous measurement, flexible and high accuracy in production line. The system consists of a laser diode, a CCD camera with PC. The camera located on the opposite side of the incident beam measures the distance between two laser beams which are reflected from the glass top and the bottom surface. We applied a binary algorithm to convert and analyze the image from the CCD camera to PC. A laser point coordinating method by border tracing algorithm is used to find out the center of laser beam circle. The measured result was compared with the one by a precision micrometer and showed as less than 0.005mm accuracy. Finally, the measurement errors were discussed how to minimize the influence of glass wedge angle and angular positioning errors of the glass moving stage.
机译:本文介绍了一种利用机器视觉和图像处理技术在实时采样过程中测量玻璃厚度的装置。最近,机器视觉可以比人的眼睛更快,更准确地检查解决方案。该系统具有连续测量,生产线灵活,精度高的优点。该系统由一个激光二极管,一个带PC的CCD摄像机组成。位于入射光束另一侧的摄像机测量从玻璃顶部和底部表面反射的两个激光束之间的距离。我们应用了一种二进制算法来转换和分析从CCD相机到PC的图像。采用边界跟踪算法进行激光点协调,找出激光束圆的中心。通过精密测微计将测量结果与测量结果进行比较,结果显示精度小于0.005mm。最后,讨论了测量误差如何最大程度地减小玻璃楔角和玻璃移动台角度定位误差的影响。

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