Improving quality of video stream from the unmanned aerial vehicle technical vision system

The study contains the results of work on the software and hardware complex to improve the quality of video data obtained from unmanned aerial vehicles. Including the tasks of independent video-flow images deconvolution (motion blur removal) and stabilization of the video stream using machine learning and artificial intelligence methods. Analytical and practical results are presented that allowed to choose solutions for processing data from UAVs in real time.