CUDA GPU Solution drastically increases performance of cameras ximea

 Image & Video Processing SDK OptionsAuto White BalanceDiscrete Wavelet transforms 5/3 and 9/7Medial filterTime measurements for all SDK modulesTrace moduleMultiplexor moduleSupport for input data from HD-SDI grabbers: Bluefish and DeltacastMultiple camera solutions for real-time processingNVIDIA Tegra K1, X1 and X2 supportStream-per-thread option for better performanceInteroperability with third-party SDKs on CUDAInteroperability with FFmpegRAW and DNG (CinemaDNG) image and video processing 

Fast compression and realtime image and video processing on GPU is popular and growing in demand in modern industries.

Indeed, high framerate cameras, real-time video surveillance systems, heavy-loaded web services and medical equipment often require zero tolerance to delays due to image processing. And this is where the image compression or image processing speed can become a serious bottleneck.

Comparing with classic CPU solutions, Fastvideo's GPU algorithms demonstrate 10-30 times performance speed up retaining the same or even better quality of the output and minimizing the host processor workload. 

CompatibilityOS Windows-7/8/10, Linux Ubuntu and CentOS, L4TNVIDIA GPUs (Kepler, Maxwell, Pascal, Volta) for mobile, laptop, desktop, serverNVIDIA Tegra K1, X1 and X2 mobile GPUsNVIDIA CUDA 9.2Sample projects for MSVC 2017 and gcc Custom Image Processing SDK for NVIDIA GPUs

Wide range offering of integration services to connect your software with Fastvideo's image and video processing SDK.

To achieve high performance on GPU for specific imaging applications Fastvideo is also developing custom SDKs according to agreed specification.

If you can't find in the details above your image processing pipeline, get in touch to discuss overall possibility.

You can also have a look at our projects in development.

 

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