Abstract:

The article is devoted to solving the problem of preparing educational content in the without-operator-mode using neural network methods and image processing methods that allow real-time automatic video stream processing in order to identify, localize, recognize and classify elements in the frame and predict the view of the lecturer when recording video, synchronize the video stream with presentation materials.