Online Real-Time Detection Method for Defects of Railroad Track Surface

Guang Yu Dai; Jun Zhang; Kun Lin Lü; Long Guo; Liang Sun; Jun Bin Fang; Zhe Chen; Jian Hui Yu

doi:10.4028/www.scientific.net/AMM.321-324.1017

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Online Real-Time Detection Method for Defects of...

Online Real-Time Detection Method for Defects of Railroad Track Surface

Abstract:

In the field of detecting for defects of railroad track surface, computer vision method for detection has been widely used. An online real-time image processing system for defects of railroad track surface is introduced in the paper. Results show that: if the number of pixels in each railroad track surface image is 512×240, the train speed can be 50 Km/h while the image processing system can real-time detect the railway track surface defects, the number of pixels in in each railroad track surface image is 320×250, the train speed can be 100 Km/h while the image processing system can real-time detect the railway track surface defects.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

1017-1020

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.1017

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Online since:

June 2013

Authors:

Guang Yu Dai, Jun Zhang, Kun Lin Lü, Long Guo, Liang Sun, Jun Bin Fang, Zhe Chen, Jian Hui Yu

Keywords:

Defect Detection, Image Preprocessing, Real-Time Detection, Track Surface

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