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Application of neural network to visual sensing of weld line and automatic tracking in robot welding

机译:神经网络在机器人焊接中焊接线和自动跟踪的应用

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In order to make a robust control system to detect weld line and to track the weld line automatically by welding robot with visual sensor, a new control system applied artificial neural network was constructed. Before the image taken was applied to neural network, the LOG filter was applied to an original image to enhance the weld line image, and then a binary image was generated. The binary image was applied to the artificial neural network, and weld line direction was detected. Then the seam tracking was performed using the weld line direction. Because the neural network was used for detecting process of weld line, more robust control system was obtained. Moreover, as the result of seam tracking experiment, the applicability of the system to an automatic welding was confirmed.
机译:为了使耐用控制系统检测焊接线并通过用视觉传感器焊接机器人自动跟踪焊接线,构建了一种新的控制系统应用的人工神经网络。在拍摄的图像应用于神经网络之前,将日志滤波器施加到原始图像以增强焊接线图像,然后产生二进制图像。将二进制图像应用于人工神经网络,检测焊接线方向。然后使用焊接线方向进行接缝跟踪。因为神经网络用于检测焊接线的过程,所以获得了更强大的控制系统。另外,由于接缝跟踪实验的结果,确认了系统对自动焊接的适用性。

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