US Air Force and Air National Guard Award 2d3 Sensing Contract for “Next-Gen” Motion Imagery Product Suite

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(October 29, 2014) - 2d3 Incorporated (dba 2d3 Sensing), a technology leader in the field of computer vision, image understanding, and full motion imagery processing and exploitation, announced today the US Air Force and Air National Guard purchased a further operational tranche of TacitView and Catalina for their remotely piloted aircraft (RPA) program on secure Department of Defense (DoD) systems.

We have built a motion imagery suite with integrated processing and exploitation algorithms to glean more situational awareness from the routine motion imagery collection.

2d3 Incorporated (dba 2d3 Sensing), a technology leader in the field of computer vision, image understanding, and full motion imagery processing and exploitation, announced today the US Air Force and Air National Guard purchased a further operational tranche of TacitView and Catalina for their remotely piloted aircraft (RPA) program on secure Department of Defense (DoD) systems.

These latest Catalina and TacitView versions define the next generation of motion imagery software and evolve the concepts of operation and capabilities available to the RQ-9/Reaper end user. This new software suite sits atop an architecture built specifically to support many facets of motion imagery operations, from command and control to intelligence analysis. The 2d3 Sensing framework exposes an array of processing methods to ingest, capture, process, exploit, and disseminate motion imagery and related metadata applicable to live or archived feeds or clips. It is standards-compliant and built to maximize interoperability with existing and legacy motion imagery systems through an open SOAP/REST API. This was one of the leading factors for 2d3 Sensing’s selection—it’s the heart of 2d3 Sensing’s “next-gen” architecture.

“Using our deep expertise in the commercial and government full motion video domains, we dedicated ourselves to perfect a toolset that provides the operator with an easy-to-use, mission-oriented interface, as well as powerful editing, enhancement, and workflow tools that increase the user’s effectiveness and efficiency,” said Danny Proko, 2d3 Sensing’s Vice President, National Security Operation. “We have built a motion imagery suite with integrated processing and exploitation algorithms to glean more situational awareness from the routine motion imagery collection. This is the tip of the iceberg for us, and we are extending this toolset with additional capabilities across multiple motion imagery missions.”

“We operate as a commercial off-the-shelf (COTS) software provider, gathering market requirements ourselves and making the internal R&D investments to solve our customers’ problems before they have to ask us, which makes us extremely flexible and agile,” said Jon Damush, President of 2d3 Sensing. “In today’s budget climate, we are seeing an increasing number of programs with upgrade requirements, but without supporting budgets or timelines. COTS software provides the majority of the solution at time of purchase, with minimal customization work required to satisfy or exceed all requirements – in a fraction of the time required by a ‘build from scratch’ program. We are very excited to close the 2014 fiscal year strong and about earning the Air Force as a key customer. We look forward to helping them realize the benefits of a lower total cost of ownership.”

About 2d3 Sensing

2d3 Sensing is an agile COTS technology provider specializing in the processing, exploitation, and dissemination of motion imagery and metadata. Using innovative vision science techniques and standards-based media management capabilities, 2d3 Sensing improves and extracts the information contained in motion imagery for better situational awareness and intelligence, surveillance, and reconnaissance mission results. 2d3 Sensing solutions are available as stand-alone software products, SDKs, and APIs.

For more information, please visit http://www.2d3sensing.com or call (866) 962-9479.

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