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Case Study: iRobotics

Detecting areas for repair on a building wall with drone aerial images

In this project, the problem was to detect cracks, loose bits, peeling, and dirt from aerial images of a building taken by a drone in order to identify areas for repair.

Using sparse modeling to extract characteristics from small amounts of data, we were able to detect the areas that needed repair based on just a few images.

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