研究目的
Development of a parametric-optical laser measurement system for inline characterization of specular surfaces in production processes, aiming to significantly increase the measurement rate compared to existing solutions.
研究成果
The study demonstrates the potential of using hardware acceleration and optimized algorithms to significantly increase the measurement rate of laser speckle-based roughness measurement systems for inline production process applications. Future work will focus on further optimizing the hardware implementation and expanding the system's applicability to a wider range of surface types.
研究不足
The current measurement rate is limited by the computational intensity of the image processing algorithms. The study aims to overcome this through hardware acceleration and algorithm optimization.
1：Experimental Design and Method Selection:
The study employs a laser-based measurement system utilizing coherent light and auto-correlation techniques for speckle intensity distribution analysis.
2：Sample Selection and Data Sources:
Specular surfaces with varying roughness levels are used to evaluate the system's performance.
3：List of Experimental Equipment and Materials:
Includes a laser source, CMOS camera for image capture, and FPGA for hardware acceleration.
4：Experimental Procedures and Operational Workflow:
Involves illuminating the surface with laser light, capturing the resulting speckle patterns with a CMOS camera, and processing the images using auto-correlation algorithms optimized for FPGA implementation.
5：Data Analysis Methods:
The analysis focuses on calculating the two-dimensional auto-correlation function of speckle intensity distributions to determine surface roughness.
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