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Calibrators Measurement System for Headlamp Tester of Motor Vehicle Base on Machine Vision

机译:基于机器视觉的汽车前照灯测试仪校准器测量系统

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With the development of photoelectric detection technology, machine vision has a wider use in the field of industry. The paper mainly introduces auto lamps tester calibrator measuring system, of which CCD image sampling system is the core. Also, it shows the measuring principle of optical axial angle and light intensity, and proves the linear relationship between calibrator's facula illumination and image plane illumination. The paper provides an important specification of CCD imaging system. Image processing by MATLAB can get flare's geometric midpoint and average gray level. By fitting the statistics via the method of the least square, we can get regression equation of illumination and gray level. It analyzes the error of experimental result of measurement system, and gives the standard uncertainty of synthesis and the resource of optical axial angle. Optical axial angle's average measuring accuracy is controlled within 40 . The whole testing process uses digital means instead of artificial factors, which has higher accuracy, more repeatability and better mentality than any other measuring systems.
机译:随着光电检测技术的发展,机器视觉在工业领域中得到了越来越广泛的应用。本文主要介绍汽车灯具测试仪校准器的测量系统,其中以CCD图像采样系统为核心。此外,它显示了光轴角和光强度的测量原理,并证明了校准器的光斑照明和像面照明之间的线性关系。该文件提供了CCD成像系统的重要规格。用MATLAB进行图像处理可以得到光斑的几何中点和平均灰度。通过最小二乘法对统计量进行拟合,可以得到光照和灰度的回归方程。分析了测量系统实验结果的误差,给出了合成的标准不确定度和光轴角的资源。光轴角的平均测量精度控制在40度以内。整个测试过程使用数字手段代替人为因素,与其他任何测量系统相比,它具有更高的准确性,更多的可重复性和更好的心态。

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