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On-line Inspection System for Automated Production Line Based on Machine Vision

机译:基于机器视觉的自动化生产线在线检测系统

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A machine vision (MV) based method of signal inspection, signal analysis and signal processing is proposed first, in which the problems of on-line inspection in the process of product manufacturing can be solved. Then, take drug package inspection as an example, the first thing in this process is that the image of inspected product is captured through machine vision techniques followed by the process of analysis and recognition of image characteristics. By comparing the inspected characteristic of product with the standard characteristic given, it can be known whether the products have some quality defects, such as chips, deformities and vacuoles, etc. And the final signals are presented for judgment and/or control to classifying the products. The result of this study shows that the machine vision, which is integration of modern sensor and computer techniques, is characterized not only by high reliability, rapid speed and repeatability, but by high intelligence as well. And it is indispensable to the on-line inspection in the modern automated production.
机译:首先提出了一种基于机器视觉(MV)的信号检查,信号分析和信号处理方法,可以解决产品制造过程中的在线检查问题。然后,以药品包装检查为例,此过程的第一件事是通过机器视觉技术捕获被检产品的图像,然后进行图像特征的分析和识别过程。通过将产品的检查特性与给定的标准特性进行比较,可以知道产品是否存在一些质量缺陷,例如碎屑,变形和空泡等。并提供最终信号以进行判断和/或控制以对产品进行分类。产品。这项研究的结果表明,机器视觉是现代传感器和计算机技术的结合,不仅具有高可靠性,快速速度和可重复性,而且还具有高智能性。这对于现代自动化生产中的在线检查是必不可少的。

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