Enhancing Real Time Situational Awareness with Latent Relationship Discovery

ABSTRACT: It is challenging for analysts and operators to maintain effective situational awareness for the task at hand in an environment of ubiquitous and seemingly unending data spanning text, video, and other mediums. Intuidex proposes research and development of a solution to this challenge that addresses two important analyst missions by supporting four common use cases. The innovation of this design solution is twofold: first, it will automatically fuse and model structured database, unstructured text and video sources in near-real-time for rapid utilization; second, it will leverage latent relationships between the data through application of Higher Order Learning technology. This design will support analysts'situational awareness in both forensic (e.g., sensemaking) and tactical (e.g., near-real-time alerting) modes of interaction. Intuidex will investigate the feasibility of such a system through a combination of design engineering and frequent capability demonstrations to project management. BENEFIT: Anticipated benefits include improved capability for near-real-time situational awareness and subsequently greater mission success with fewer casualties. In forensic applications, higher quality and faster production of analysis products is expected. Transition to commercialization is planned to DOD enterprises through established software approval processes, and to law enforcement through Intuidex's reseller, 3M Corporation. Potential commercial applications include: faster, more effective decision-making in the legal market, lightweight alerting capabilities for mobile platform devices, and widespread application to trending problems across vertical markets.