Video Solar Plant Monitoring

In order to ensure efficient monitoring of solar plants, aerial video inspection using drones is unavoidable. The usually encountered problem is the shadow caused by drone on solar panels which may cause a false image interpretation. In this paper, we propose a technique of live shadow detection in video frames based on Otsu thresholding algorithm. To avoid Shaded Frames, the supervisor can automatically detect shaded captured frames of solar panels then acquire frames of the same area from another drone position with corrected angle of view of camera.