Vol. 18, No. 8, August 31, 2024
10.3837/tiis.2024.08.017,
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Abstract
In this study, a high-speed template matching system is proposed for wafer-vision alignment. The proposed system is designed to rapidly locate markers in semiconductor equipment used for wafer-vision alignment. We optimized and implemented a template-matching algorithm for the high-speed processing of high-resolution wafer images. Owing to the simplicity of wafer markers, we removed unnecessary components in the algorithm and designed the system using a field-programmable gate array (FPGA) to implement high-speed processing. The hardware blocks were designed using the Xilinx ZCU104 board, and the pyramid and matching blocks were designed using programmable logic for accelerated operations. To validate the proposed system, we established a verification environment using stage equipment commonly used in industrial settings and reference-software-based validation frameworks. The output results from the FPGA were transmitted to the wafer-alignment controller for system verification. The proposed system reduced the data-processing time by approximately 30% and achieved a level of accuracy in detecting wafer markers that was comparable to that achieved by reference software, with minimal deviation. This system can be used to increase precision and productivity during semiconductor manufacturing processes.
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Cite this article
[IEEE Style]
J. So and M. Kim, "Implementation of a High-speed Template Matching System for Wafer-vision Alignment Using FPGA," KSII Transactions on Internet and Information Systems, vol. 18, no. 8, pp. 2366-2380, 2024. DOI: 10.3837/tiis.2024.08.017.
[ACM Style]
Jae-Hyuk So and Mijoon Kim. 2024. Implementation of a High-speed Template Matching System for Wafer-vision Alignment Using FPGA. KSII Transactions on Internet and Information Systems, 18, 8, (2024), 2366-2380. DOI: 10.3837/tiis.2024.08.017.
[BibTeX Style]
@article{tiis:101105, title="Implementation of a High-speed Template Matching System for Wafer-vision Alignment Using FPGA", author="Jae-Hyuk So and Mijoon Kim and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2024.08.017}, volume={18}, number={8}, year="2024", month={August}, pages={2366-2380}}