Abstract
Efforts are underway across the defense and commercial industries to develop cross-reality (XR), multi-user operation centers in which human users can perform their work while aided by intelligent systems. At their core is the objective to accelerate decision-making and improve efficiency and accuracy. However, presenting data to users in an XR, multi-dimensional environment results in a dramatic increase in extraneous information density. Intelligent systems offer a potential mechanism for mitigating information overload while ensuring that critical and anomalous data is brought to the attention of the human users in an immersive interface. This paper describes such a prototype system that combines real and synthetic motion sensors which, upon detection of an event, send a captured image for processing by a YOLO cluster. Finally, we describe how a future system can integrate a decision-making component for evaluation of the resulting metadata to determine whether to inject the results into an XR environment for presentation to human users.
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