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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分类自动分拣系统

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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:金属缸广泛用作机械中的重要工件,其精确度决定了机械类似的精确度和质量。本文基于机器视觉和可编程逻辑控制器(PLC)研究了金属圆柱形工件上边缘毛刺的特征识别及其自动分选方法。首先,建立具有充电耦合器件(CCD)摄像机的自动分拣系统。其次,旨在识别和检测工件的边缘毛刺特征的图像处理算法。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,使用分拣平台实现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精确且有效地对圆柱形工件进行分类。

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