The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2023
Session ID : J101-05
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Study of Displacement Measurement Method Based on Video Data using Deep Learning
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*Tsuyoshi FUKASAWATakaki AEBASyuya AKAIWASatoshi FUJITA
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Abstract

The necessity for rapid initial responses to enhance urban resilience, especially in the wake of earthquakes, forms the core of this research paper. Critical to this process is the immediate assessment of structural damages, necessitating the application of structural health monitoring systems. The burgeoning interest in employing Information and Communication Technology (ICT) and sensor technologies for disaster prevention and mitigation is explored, with particular emphasis on the role of smartphones. Given their widespread prevalence, this research proposes a methodology that utilizes image data from smartphone cameras to measure structural displacements using deep learning. The paper delineates the efficacy of this approach through experimental verification, demonstrating its viability and effectiveness in practical scenarios.

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© 2023 The Japan Society of Mechanical Engineers
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