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ViMag: A Visual Vibration Toolbox

License: MIT License

HTML 6.37% JavaScript 73.03% Python 14.79% CSS 4.53% Shell 0.61% Batchfile 0.66%
deep-learning modal-analysis motion-magnification structural-health-monitoring condition-monitoring

vimag's Introduction

Logo: A tuning fork with an eye ViMag: A Visual Vibration Toolbox

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.

Features

  • 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


Screenshots

Do you want to contribute to this project? Check out our contributing guidelines.

vimag's People

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