Abstract: In an example embodiment, a structural health monitoring software application provides non-contact structural health monitoring using a video of a structure captured by a video camera. The application selects an area of interest and divides the area of interest into a grid of cells. One or more machine vision algorithms are selected from a set of multiple machine vision algorithms provided by the application, wherein the set of multiple machine vision algorithms includes at least one phase-based algorithm and at least one template matching algorithm. The application applies the one or more machine vision algorithms to the video of the structure to determining a displacement of each cell, detects defects or damage based on differences in the displacement of cells, and displays an indicator of the detected defects or damage in a user interface.

Abstract: In an example embodiment, a structural health monitoring software application provides non-contact structural health monitoring using a video of a structure captured by a video camera. The application selects an area of interest and divides the area of interest into a grid of cells. One or more machine vision algorithms are selected from a set of multiple machine vision algorithms provided by the application, wherein the set of multiple machine vision algorithms includes at least one phase-based algorithm and at least one template matching algorithm. The application applies the one or more machine vision algorithms to the video of the structure to determining a displacement of each cell, detects defects or damage based on differences in the displacement of cells, and displays an indicator of the detected defects or damage in a user interface.

Abstract: In various example embodiments, machine vision-based techniques for non- contact SHM are provided that may integrate both phase-based algorithms and template matching algorithms to enable selection of one or more machine vision algorithms that are effective at measuring responses (e.g., displacement, strain, acceleration, velocity, etc.) under present conditions. Results of a single algorithm or a combination of results from multiple algorithms may be returned. In such techniques, improved template matching algorithms may be employed that provide sub-pixel accuracy. Responses may be adjusted to cancel out camera vibration and video noise. Defects or damage may be determined by tracking changes in displacement within an area of interest.