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An automatic sorting system for sorting metal cylindrical workpiece based on machine vision and PLC technology

机译:基于机器视觉和PLC技术的金属圆柱工件自动分选系统

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Metal cylinder is widely used as an important workpiece in machinery, its precision determines the accuracy and quality of mechanical resembling. In this paper, the feature recognition of edge burr on metal cylindrical workpiece and its automatic sorting method have been researched based on machine vision and Programmable Logic Controller (PLC). Firstly, an automatic sorting system with Charge Coupled Device (CCD) cameras is built. Secondly, an image process algorithm is designed to recognize and detect the edge burr feature of the workpiece. Then, a controlling strategy based on PLC's data register is devised to control the sorting process. Finally, some experiments are implemented with the sorting platform to verify the validity of the system. The results of the experiments show the system can sort the cylindrical workpiece accurately and efficiently.
机译:金属圆柱体被广泛用作机械中的重要工件,其精度决定着机械装配的精度和质量。本文研究了基于机器视觉和可编程逻辑控制器(PLC)的金属圆柱工件边缘毛刺的特征识别及其自动分类方法。首先,建立了带有电荷耦合器件(CCD)相机的自动分类系统。其次,设计了一种图像处理算法来识别和检测工件的边缘毛刺特征。然后,设计了一种基于PLC数据寄存器的控制策略来控制排序过程。最后,利用分拣平台进行了一些实验,以验证系统的有效性。实验结果表明,该系统可以对圆柱工件进行准确,高效的分选。

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