SIFT is an advanced image processing software designed to streamline analysis of high-speed images and videos for dynamic material characterization and failure experiments.
High-speed imaging technology can now provide high resolution images of material samples during a material characterization experiment up to and beyond failure. These images can then be analyzed for full-field strain analysis of the sample using various Digital Image Correlation (DIC) techniques. One of the pain points of working with high-speed images for DIC analysis is identifying the point of failure in a material test. This is a manual process which is cumbersome and time-consuming when working with many replicate image sets. SIFT is designed to automate identifying the point of failure using image processing techniques like dynamic feature tracking for failure point identification and to automate video generation from the still images.