OpenCV-based Recognition Method for Computer Interlocking Host Computer Interface

In order to improve the efficiency of identifying the operation of computer interlocking host computer interface and promote the improvement of automation, combined with the display standards and requirements of the host computer interface, this paper proposes an image analysis method for the host computer interface based on Open CV. The method accurately extracts the coordinate information on the screen by quantifying the geometric features of various types of signal devices in the host computer interface. Through this process, it can realise the automatic identification, obtain the whole station's signal layout map from the image input, and make preparations for the subsequent automated test.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968399
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

OpenCV-based Recognition Method for Computer Interlocking Host Computer Interface

Wenzhen Kuang, Jiapeng Li, Yajie Li, Tao He et al.
Industrial Vision Systems and Defect Detection
article

OpenCV-based Recognition Method for Computer Interlocking Host Computer Interface

Wenzhen Kuang, Jiapeng Li, Yajie Li, Tao He, Yanpeng Wu
article en

Abstract

In order to improve the efficiency of identifying the operation of computer interlocking host computer interface and promote the improvement of automation, combined with the display standards and requirements of the host computer interface, this paper proposes an image analysis method for the host computer interface based on Open CV. The method accurately extracts the coordinate information on the screen by quantifying the geometric features of various types of signal devices in the host computer interface. Through this process, it can realise the automatic identification, obtain the whole station's signal layout map from the image input, and make preparations for the subsequent automated test.

Lanzhou Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Industrial Vision Systems and Defect Detection
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