Paper
4 September 2024 Research on image recognition technology of computer interlocking upper machine interface in railway station signal layout diagrams
Mingdong Yu, Wenzhen Kuang
Author Affiliations +
Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591F (2024) https://doi.org/10.1117/12.3039423
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China
Abstract
Currently, design units manually design the computer interlocking upper machine interface in railway station signal layout diagrams and use AutoCAD software for drawing. In order to reduce the demand for manual operation, improve the reliability and accuracy of data, a computer interlocking upper machine interface image recognition method based on OpenCV is proposed. By quantifying the geometric characteristics of various types of signal equipment on the upper machine, this method can quickly and accurately extract the screen coordinates of signal equipment, enabling users to easily obtain an overview of the layout of signal devices in the station.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mingdong Yu and Wenzhen Kuang "Research on image recognition technology of computer interlocking upper machine interface in railway station signal layout diagrams", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591F (4 September 2024); https://doi.org/10.1117/12.3039423
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KEYWORDS
RGB color model

Image segmentation

Image processing

Lamps

Human-machine interfaces

Signal detection

Computing systems

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