Eulerian Video Magnification for Engineering Diagnostics

Eulerian Video Magnification is a video processing technique able to reveal temporal variations in videos that are difficult or impossible to see with the naked eye. It can be considered a "microscope for tiny motions and color variations". It can be integrated with more standard vibration measurements to perform diagnostics in the field of mechanical engineering and healthcare. In particular, compared with the traditional methods to measure small movements and vibrations, EVM has the advantage of not requiring physically-attached wired or wireless sensors. This instrumentation, in fact, results in mass-loading on lightweight structures and is time-consuming to install and maintain. Moreover, these sensors are typically placed at a limited number of discrete locations, providing low spatial sensing resolution that is hardly sufficient for modal-based damage localization, or model correlation (MAC). Other non-contact measurement methods, such as scanning laser vibrometers, provide high-resolution sensing capacity without the mass-loading effect. However, they make sequential measurements that require considerable acquisition time.