Object detection resource usage within a remote real-time video stream

Abstract

The growth in remote education through technologies such as Remote Access Laboratories has progressed to a stage where automated interpretations of visual scenes within a video stream are necessary to provide enhanced learning experiences. Augmented Reality tools are under development to expand the current reach and immersion of remote laboratories. Network capabilities between the experiment host and the client can affect the level of these enhancements. Augmented Reality relies on sensory engagement, which is critically linked to the synchronization between the real-time scenes and the computer-generated enhancements. This work highlights the problems of incorporating Augmented Reality into Remote Access Laboratories, and the methods to improve the level of user immersion.