Abstract
The University of Central Florida invention describes a comprehensive system for structural health monitoring at a global level using computer vision. The system integrates different algorithms and methods to develop a structure-oriented, computer vision-based structural response monitoring framework. It provides a guide for different structures in different application scenarios to use different types of algorithms and methods. The invention also proposes novel methods of using computer vision to conduct vibration serviceability, load distribution estimation, load rating, extraction of unit influence line for structural identification, and weigh-in-motion for structural evaluation. It can eliminate the issues and limitations in conventional structural health monitoring and condition assessment, such as a large amount of time, cost, labor forces to deal with the instrumentation and cable wiring, and possible traffic closure in bridge monitoring and inspection cases.
Brochure
