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The World Like You Have Never Seen
How can game engine technology be adapted to support real world GEOINT sources and provide a collaborative platform for Analysts?
  • Are you able to effectively manage geospatial coordinate transformations from GEOINT source data to run-time publishing of 3D content with game engines?
  • Do you possess a software engineering solution to overcome the limitations of game engines in publishing dynamic terrain at a global scale?*
  • What if you could adapt game engine technology to publish OGC Common Database (CDB) files in support of SOCOM SOFPREP and NGA F3DG requirements?

The answer to all these questions is ORB ViewR.

The ORB ViewR is a free, standalone application powered by the Unreal Engine that gives users the ability to explore their worldwide synthetic environments through photo-realistic rendering (including round-earth), and out-the-window views with the smooth, seamless performance inherent with gaming technology.

Huge synthetic environment? No problem. Whereas gaming applications typically load smaller amounts of content locally, the ORB ViewR is able to stream massive amounts of data from an external host. From megacities to the One World Terrain, users will be able to interactively view, analyze, and validate entire synthetic environments – regardless of size or density – with exceptional paging performance.

Using the ORB ViewR, content creators can:

  • Save countless hours by identifying content issues early
  • Become more autonomous and not rely on other departments or applications to view and validate a synthetic environment.
  • Explore terrains as small as a city block, or as large as the whole planet, or One World Terrain (OWT)
  • Stream and view limitless amounts of data and enjoy superior paging performance

Provided free of charge as a downloadable executable, the Presagis ORB ViewR is capable of viewing geospatial data, and massive environments – from megacities to the entire planet.

ORB ViewR is capable of publishing OGC CDB data using structured analytic techniques to achieve 3D geospatial data modeling for run-time visualization.