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The International Conference on Research Perspectives : IoT in Hybrid Grid Integrated Renewable
Energy Sources
In association with International Journal of Scientific Research in Computer Science, Engineering and
Information Technology
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115
Design and Analysis of Bridge Crack Detection using CNN
Prof. Kanchan V. Warkar, Kalpana B. Lamsoge
M. Tech Department of Computer Science and Engineering, Bapurao Deshmukh College of Engineering, Sewagram, India
ABSTRACT
Even though there have been incidents in the past, it is critical to keep an eye on the bridges in our country or state. The reason for these tragedies is that there is no system in place that will alert people if a bridge is in poor condition when unexpected events such as floods or earthquakes occur. It indicates that the bridge is not in good repair. When this type of condition occurs, the bridge may collapse, resulting in a variety of losses such as accidents, human deaths, and so on. According to a 2016 report by the National Crime Records Bureau, Maharashtra had the second-highest number of deaths (4,237) due to structural failures between 2001 and 2015. All of these figures demonstrate that disregarding structure safety results in human lives being lost. Zig-Bee technology is employed in the present system, and the TCP/IP protocol was utilised, which is suitable for all sorts of bridges. In this article, we'll delve deeper into the methods for detecting bridge cracks.
Keywords : Convolutional Neural Network, Deep Learning, Digital Recognition, Bridge Crack, Image Processing.
I. INTRODUCTION
The density of highway networks has steadily expanded, and large-span bridges have continued to arise, owing to India's rapid development of the transportation industry. However, additional risk issues will undoubtedly arise as a result of the bridge project [1]. These risk factors are likely to have negative impacts on bridges and even cause bridge collapse, putting people's lives in danger and causing property damage. As a result, it is critical to conduct damage detection and early warning of the bridge structure, as well as to determine the health state of the bridge operation in a timely manner. Engineering and academia are presently debating how to diagnose the health of modern bridges. Many bridges require
immediate safety inspections, health assessments, and maintenance strengthening.
People have recognized the necessity of health
diagnosis since the 1950s, but they have been limited
in its use due to the backwardness of early detection
technologies. However, several countries and research
organisations have recognized the necessity and
necessity of studying bridge structural health
diagnostics in recent decades [2]. The use of efficient
methods for evaluating and assessing the health of
existing bridges, repairing and controlling damage,
and implementing long-term safety inspection,
vibration, and damage control systems.