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

Fang Jiang; Chunying Jiang; Hanlin Ge

doi:10.1117/12.864526

11 October 2010 FPGA and DSP based an intelligent visual sensor design for laser welding seam recognition

Fang Jiang, Chunying Jiang, Hanlin Ge

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 765677 (2010) https://doi.org/10.1117/12.864526
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

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.

Citation Download Citation

Fang Jiang, Chunying Jiang, and Hanlin Ge "FPGA and DSP based an intelligent visual sensor design for laser welding seam recognition", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 765677 (11 October 2010); https://doi.org/10.1117/12.864526

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