Vision-based damage detection techniques can reduce sensor deployment costs while providing accurate, useful, and full-field readings of structural behaviour. Our work presents a video processing methodology based on STB-VMM implemented in a software toolbox that allows the processing of video data to obtain vibrational signatures of complex structures. Our tests have demonstrated that this technique enables the identification of very light structural damage in a controlled lab environment. This vision-based technique may not be as precise as other contact-based or laser methods, but on the other hand, it offers an easy-to-use, effective, full-field tool for structural health monitoring at a fraction of the cost.
- Apply state-of-the-art video motion magnification
- Select multiple video areas for displacement monitoring
- Obtain discrete displacement-over-time signals of selected areas
- Compute the frequency response of displacement-over-time signals
- Export the results in .csv for further processing
Download the latest release
Use instructions & documentation can be found in the wiki
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