Graduation Semester and Year
2011
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Roger Walker
Abstract
The bridges and overpass are integral part of road network. These structures deteriorate the moment the construction is over. The factors of deterioration are impact loads of vehicles, natural factors such as wind, rain, earthquake, floods, etc. These deterioration leads to structural failures. In order to prevent failures these structure should be periodically monitored and maintained. In this research project a novel method for early detection of bridge failure using computer vision application and 3D road profiling system is proposed. The objective of this research work to check the feasibility of this bridge monitoring system for any structural movement detection. Several computer vision techniques is studied and implemented for the process of bridge movement detection
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Modi, Kenan, "Bridge Monitoring System Using Embedded Computer Vision" (2011). Electrical Engineering Theses. 35.
https://mavmatrix.uta.edu/electricaleng_theses/35
Comments
Degree granted by The University of Texas at Arlington