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Research on the Application of Computer Vision in Bridge Health Monitoring
This article starts from the theory of computer vision in bridge health monitoring summarizes how it has been used in bridges by applying data collection, data analysis, and data management of bridge health monitoring systems. All these technologies can be used adeptly in their aspects. In the past, China used manual detection of bridge cracks, relying on large mechanical devices such as bridge trucks to send people under the bridge to monitor the health of the bridge. This method was time-consuming and labor-intensive, and the safety of manual labor could not be guaranteed. It is easy to cause diagnostic errors [1]. This research introduces the general situation and summarizes the main problems in this field of computer vision.
Research on the Application of Computer Vision in Bridge Health Monitoring
This article starts from the theory of computer vision in bridge health monitoring summarizes how it has been used in bridges by applying data collection, data analysis, and data management of bridge health monitoring systems. All these technologies can be used adeptly in their aspects. In the past, China used manual detection of bridge cracks, relying on large mechanical devices such as bridge trucks to send people under the bridge to monitor the health of the bridge. This method was time-consuming and labor-intensive, and the safety of manual labor could not be guaranteed. It is easy to cause diagnostic errors [1]. This research introduces the general situation and summarizes the main problems in this field of computer vision.
Research on the Application of Computer Vision in Bridge Health Monitoring
Lecture Notes in Civil Engineering
Casini, Marco (editor) / Cao, Yimin (author) / Huang, Mingzheng (author) / Sun, Yixin (author) / Li, Cheng (author)
International Civil Engineering and Architecture Conference ; 2022 ; Singapore, Singapore
Proceedings of the 2nd International Civil Engineering and Architecture Conference ; Chapter: 15 ; 127-136
2022-07-13
10 pages
Article/Chapter (Book)
Electronic Resource
English
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