Journal of Railway Engineering
Online ISSN : 2759-1492
Research and Development of Efficient Acquisition of Damage Data for Shinkansen Civil Engineering Structures
Yasuhir SATODaisuke NAKAMURAKenichi KURIBAYASHI
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2025 Volume 29 Issue 1 Pages 51-56

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Abstract

 Faced with aging and population decline, streamlining labor-intensive visual inspections is essential. This study explored the use of AI for extracting deformations in civil structures within Shinkansen track areas and developed equipment for continuous image capturing. Results showed that AI models trained on images taken under specific conditions could extract deformations with reasonable accuracy. Additionally, the newly developed equipment successfully captured images continuously and func-tioned effectively during tests on operational Shinkansen lines, enabling efficient data acquisition.

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© 2025 Japan Society of Civil Engineering
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