GET BETTER RESULTS WITH
GET BETTER RESULTS FOR YOUR GEOINT APPLICATION
Enhance the capabilities of your Geo Intelligence projects by processing more data and achieve better results with GPU acceleration. With the addition of GPUs, image and video processing is now up to 10x faster than CPU only applications delivering data analytics along with image and video processing capabilities that were not possible before – while enabling greater productivity.
START EXPLORING TODAY AND SEE HOW GPUS CAN ENHANCE YOUR GEOINT CAPABILITIES
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GPUs accelerate both Image Processing and Video Processing.
IMAGE PROCESSING WITH GPUs
The role of image processing is expanding for defense and geo intelligence. GPUs accelerate the workflow across tasks such as orthorectification, filtering algorithms, change detection, 3D reconstruction to process much larger volume of images to deliver results that impacts decisions. Companies such Digital Globe are using GPUs to accelerate orthorectification and pan sharpening to achieve real-time analysis of images that allows for better and advanced analysis. Here are just a few examples of accelerated image processing:
Case study: SRIS
Read how SRIS is delivering real-time geospatial image processing results with innovative GPU-based architecture that is 72x faster, 12x cheaper than CPUs.
- Line of sight analysis is 75x faster with GPUs vs. CPUs delivering better insight into the data, enabling commanders and soldiers to instantly perform analysis for mission preparation.
VIDEO PROCESSING WITH GPUS
Achieve real-time performance for video processing including video enhancement algorithms, moving objects detection, mosaicking, facial recognition, and many others with GPU acceleration. GPUs can deliver not only real time, but also beyond real-time performance for the processing of full-motion videos, making video analysis more productive. For example, with the processing power of the GPUs, Intuvision was able to accelerate video processing and analysis by 12x, providing real-time results, allowing analysts to identify suspicious activity with a high degree of accuracy.
Case study: intuVision
intuVision's software analyzes video surveillance footage. With GPUs acceleration intuVision software is accelerated by a factor of 12
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