Journal of the Eastern Asia Society for Transportation Studies
Online ISSN : 1881-1124
ISSN-L : 1341-8521
H: Highway Design and Maintenance
Development of Automatic Concrete Cracks Detection System Using Average Shifted Mesh
Takahiro MINAMIWataru URATAMakoto FUJIUTomotaka FUKUOKAMasahiko SAGAEShinya SUDAJunichi TAKAYAMA
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JOURNAL FREE ACCESS

2019 Volume 13 Pages 1560-1570

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Abstract

Extending the service lives of bridges has become a topic of discussion. Inspections and diagnosis are performed through close visual inspections. In this study, we propose a diagnostic imaging technology with a super-high-resolution camera (SHRC) for efficient inspection. By using images captured with the SHRC, we will build an inspection environment similar to close visual inspection. We utilized image recognition technology to prepare AI that identifies cracks, and proposed a method that delineates locations with cracks based on the entire image of a pier. Finaly, We examined the improvement of crack detection accuracy by using Averaged Shifted Histograms (ASH) theory. It becomes crear that accurancy of AI has increased by average shift mesh.

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© 2019 Eastern Asia Society for Transportation Studies
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