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FPGA and DSP based an intelligent visual sensor design for laser welding seam recognition

机译:基于FPGA和DSP的智能视觉传感器设计用于激光焊缝识别

摘要

A kind of intelligent visual sensor system, which is mainly composed of a laser lighting source and an intelligent camera based on FPGA and DSP, is designed using the triangle structured light principle for laser welding seam recognition. Intending to meet the high-precision demands, on one hand, the components of the sensor such as the lighting source, the optical lens, the optic sensor of the camera are selected and the errors caused by these parts are analyzed. Furthermore, the triangle structured light principle models are built and the simulation is given to optimize the light path parameters. On the other hand, the methods of the image processing for seam recognition using intelligent camera based on FPGA and DSP are explained. Experiments results proved that the sensor design is reasonable and the image recognition methods are rational and effective. Very compact structure, high-precision and high-real-time performance are integrated in this sensor, so it can be applied well in the seam tracking and inspection system in the laser welding and arc welding fields.
机译:基于三角形结构的光原理,设计了一种以FPGA和DSP为基础的智能视觉传感器系统,该系统主要由激光光源和智能相机组成,用于激光焊缝识别。为了满足高精度要求,一方面,选择传感器的组件,例如光源,光学透镜,照相机的光学传感器,并分析由这些部分引起的误差。此外,建立了三角形结构的光原理模型,并进行了仿真以优化光路参数。另一方面,阐述了基于FPGA和DSP的智能相机对接缝识别的图像处理方法。实验结果证明,该传感器设计合理,图像识别方法合理有效。该传感器集成了非常紧凑的结构,高精度和高实时性能,因此可以很好地应用于激光焊接和弧焊领域的接缝跟踪和检查系统中。

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