Analysis of the Effect of Image Attributes and Inspection Skills on Image Diagnosis of Bridges ~Using Super High Resolution Camera~

Minami, Takahiro; Urata, Wataru; Fujiu, Makoto; Fukuoka, Tomotaka; Takayama, Junichi

doi:10.2208/jscejcm.75.2_i_50

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“…In this study, we used a bridge inspection support system previously developed by the authors to detect crack damage from bridge photographs using image recognition technology [11,[14][15][16]. Images taken using an ultra-high-definition camera could be uploaded to the system, the bridge image storage and crack damage detection results being confirmed via the Internet.…”

Section: Theory: Overview Of Bridge Inspection Support Systemmentioning

confidence: 99%

Remote Bridge Inspection and Actual Bridge Verification Based on 4G/5G Communication Environments

et al. 2023

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The close-up visual inspection of bridges faces several problems, including a lack of financial resources and human personnel. Hence, there has been increasing use of artificial intelligence (AI) and information and communications technology (ICT) to solve them. We previously investigated remote inspection—in which skilled engineers provided on-site support from a remote location—with the aim of reducing the labor required for on-site work and addressing the lack of personnel through the use of AI and ICT. Sharing images of bridges from inspection sites to remote locations via the Internet enables remote assessment of the sites and the ability to consider and diagnose damage. Mobile communications can be used to upload images, although the volume of image data required for inspection can be enormous and take considerable time to upload. Consequently, in this study, we investigated image uploads using 5G communication—that is, the fifth-generation technology standard for broadband cellular networks. Moreover, we measured the upload times when using 4G and 5G services and examined their operation based on differences in the communication environments. We concluded that the simulated remote inspection can be efficiently performed by adjusting the inspection method to the communication environment.

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Section: Theory: Overview Of Bridge Inspection Support Systemmentioning

confidence: 99%