Journal of the Japan Society of Applied Electromagnetics and Mechanics
Online ISSN : 2187-9257
Print ISSN : 0919-4452
ISSN-L : 0919-4452
Special Topic: Technology Related to AI Application and Anomaly Detection in Mobility
Inspection of Railway Track Facilities using Camcorder and Image Analysis
Nozomi NAGAMINE, Yosuke TSUBOKAWA
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2023 Volume 31 Issue 1 Pages 19-24

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Abstract

 Appropriate maintenance of tracks is vital for the safe operation of railways. Proper managing track facilities is necessary to prevent buckling of rails. Due to social backgrounds of a shortage of workers, a decrease in skilled engineers, and a decrease in passenger income, inspection methods with a low-cost and no need of experience are desired. Therefore, we have developed a method that estimates each image's kilometers, rail gaps, wooden sleeper deterioration, and ballast shape using only inexpensive camcorders. This paper describes the outline of the method and its application results.

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© 2023 The Japan Society of Applied Electromagnetics and Mechanics
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