A low-latency FPGA-based method for edge extraction of hot-rolled strip

Han Gao; Xu Li; Jianzhao Cao; Feng Luan; Xiaoyan Zhu; Dianhua Zhang

doi:10.1117/12.3009292

16 October 2023 A low-latency FPGA-based method for edge extraction of hot-rolled strip

Han Gao, Xu Li, Jianzhao Cao, Feng Luan, Xiaoyan Zhu, Dianhua Zhang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280330 (2023) https://doi.org/10.1117/12.3009292
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

This paper proposes a low-latency method, based on FPGA, for edge extraction of hot-rolled strip. The method uses a global shutter camera module to capture strip images and detects the strip edge position by analyzing the intensity profile and the gradient of image gray values. The method has the advantages of low latency, strong robustness, and accurate results. The feasibility and effectiveness of the method are verified by FPGA simulation experiments, and a foundation is laid for the subsequent strip deviation automatic control algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Han Gao, Xu Li, Jianzhao Cao, Feng Luan, Xiaoyan Zhu, and Dianhua Zhang "A low-latency FPGA-based method for edge extraction of hot-rolled strip", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280330 (16 October 2023); https://doi.org/10.1117/12.3009292

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