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- W4282978822 abstract "AbstractOne of the major advancements in the field of civil engineering from the past few years is intelligent infrastructures. These structures will have the ability of sensing and will be accurately able to respond to the changes in the environment and external damages. To be able to keep up with the advancements we need to detect the damages to monitor the health of the structure. This research study aims to develop an efficient damage detection method using video of the damaged structure taken by mobile or camera mounted on a drone to replace the human visual inspection using Artificial Intelligence. For this system, an AI-based application is developed that will be able to recognize the damages accurately in the bounding box or targeted limiting area via a portable camera. An artificial neural network will be used to train the model and to classify the images obtained from video footage. As a case study and validation, a real damaged bridge video footage is considered.KeywordsDamage detectionImage processingArtificial intelligenceStructural cracksSpallingVisual inspectionArtificial neural network" @default.
- W4282978822 created "2022-06-17" @default.
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- W4282978822 date "2022-06-16" @default.
- W4282978822 modified "2023-09-30" @default.
- W4282978822 title "Structural Damage Identification from Video Footage Using Artificial Intelligence" @default.
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- W4282978822 doi "https://doi.org/10.1007/978-3-031-07258-1_78" @default.
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