NVIDIA Launches World's First GPU-Accelerated Platform for Geospatial Intelligence Analysts
GPU Accelerators Sift Through Mountains of Image, Video, Signal-Intelligence Data to Deliver Faster, Clearer, More Actionable Insights
(firmenpresse) - SANTA CLARA, CA -- (Marketwired) -- 07/17/13 -- NVIDIA today launched the NVIDIA® GeoInt Accelerator™, the world's first GPU-accelerated geospatial intelligence platform to enable security analysts to find actionable insights quicker and more accurately than ever before from vast quantities of raw data, images and video.
The NVIDIA GeoInt Accelerator platform provides with tools that enable faster processing of high-resolution satellite imagery, facial recognition in surveillance video, combat mission planning using geographic information system (GIS) data, and object recognition in video collected by drones.
It offers a complete solution consisting of an GPU accelerated system, software applications for geospatial intelligence analysis, and advanced application development libraries.
"Today's intelligence analyst needs information based on imagery, video, signals intelligence, human intelligence and other sources, in a geospatial context and 'at rate,'" said Nick Buck, CEO Buck Consulting Group and former IT executive with the NRO Ground Directorate. "The NVIDIA GeoInt Accelerator provides developers the opportunity to unleash the power of GPU computing to quickly combine the variety and volume of data sources at the speed needed for mission support, enabling new levels of performance with minimal investment."
Key applications in the NVIDIA GeoInt Accelerator platform include:
- Processes more than three million square kilometers of high-resolution imagery collected daily by satellites for current intelligence on points of interest.
- Delivers native 3D GIS fusion -- including LIDAR remote sensing technology and full motion video -- without preprocessing.
- Real-time facial recognition from video surveillance
- Provides object detection and event-driven alerts by processing multiple real-time HD video streams.
- Provides situational awareness for mission planning by overlaying image, radar, sensor data for line-of-sight analysis.
- Automatically detects objects in images and video streams.
Details of these applications are available at .
The NVIDIA GeoInt Accelerator platform also features a number of libraries and solutions that serve as building blocks for defense contractors and system integrators to build their own applications for GPU-accelerated image, video, and signal processing. These solutions and their contents include:
- Image and signal-processing functions accelerated by GPUs.
- High-frequency ray tracing engine for antenna modeling.
- Algorithms, functions, and applications for image processing and algorithm development in MATLAB.
- For signal processing applications.
- Programmable ray tracing framework to model stealth designs.
- Basic image-processing kernels and functions.
- RF propagation analysis, ray tracing, and jamming analysis development kit.
- Computer-vision functions.
are already widely used in the defense industry for imaging, video, and signal processing by customers such as Army Research Labs, BAE Systems, Boeing, SAIC, NATO, NAVAIR, Northrop Grumman, Onera, Raytheon, and Thales Group.
There are multiple deployment solutions available from embedded GPU accelerators from GE Intelligent Platforms and Curtis-Wright, and workstations and server cluster solutions from all the major OEMs, including Dell, HP, and IBM.
Since 1993, (NASDAQ: NVDA) has pioneered the art and science of visual computing. The company's technologies are transforming a world of displays into a world of interactive discovery -- for everyone from gamers to scientists, and consumers to enterprise customers. More information at and .
Certain statements in this press release including, but not limited to, statements as to: the impact and benefits of NVIDIA GPU accelerators and the NVIDIA GeoInt Accelerator platform are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended April 28, 2013. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
© 2013 NVIDIA Corporation. All rights reserved. NVIDIA and the NVIDIA logo, CUDA, GeoInt Accelerator, OptiX, Performance Primitives, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
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George Millington
NVIDIA Public Relations
(408) 562-7226
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Datum: 17.07.2013 - 13:00 Uhr
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