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Smart city article details

Title	Analysis Of Concrete Cracks And Fatigue In Smart Cities Using Yolov3
ID_Doc	9127
Authors	Archana U.; Sharma S.; Singh S.K.; Sureshkumar R.; Senthilkumar P.; Harish Babu T.
Year	2023
Published	2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023
DOI	http://dx.doi.org/10.1109/RMKMATE59243.2023.10368774
Abstract	This study focuses on the application of the YOLOv3 (You Only Look Once version 3) object detection algorithm for the analysis of concrete cracks and fatigue within Smart Cities. Concrete infrastructure plays a crucial role in urban environments, and its structural integrity is paramount for ensuring public safety and sustainable development. The proposed approach utilizes YOLOv3 to identify and localize instances of concrete cracks and signs of fatigue in images and videos captured from various urban settings. By leveraging deep learning techniques, this research aims to enhance the efficiency and accuracy of monitoring and maintaining concrete structures, contributing to the overall resilience and longevity of Smart Cities. The findings of this study present valuable insights into the potential of utilizing advanced computer vision methods for proactive infrastructure management in the urban landscape. © 2023 IEEE.
Author Keywords	Concrete cracks; Fatigue analysis; Infrastructure monitoring; Smart Cities; YOLOv3

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