embedded world – the trade fair for embedded-system technologies

In February, 2020 MRTech team visited Nuremberg again where the leading embedded technology exhibition takes place every year. Here we presented the latest developments in image processing and discussed with participants and visitors the imaging trends of tomorrow.

Exhibition location: Exhibition Centre Nuremberg, Germany
MRTech SK booth: 2-649a
Dates: 25 – 27 February 2020
MRTech link: MRTech SK s.r.o.

MRTech highlights at embedded world 2020

Embedded image processing

MRTech image processing software is a proprietary cross-platform image flow framework that’s designed for building standard or customized image processing pipelines for machine vision systems. This software has all basic functions for image processing and allows us to add any filters, libraries, primitives, SDK which needed for the vision system.

This software is compatible with all major hardware platforms used on the embedded market and works with Linux, Windows, MacOS operating systems.

Basic features of the image processing software:

  • Acquisition of images and camera synchronization
  • Color images pre-processing
  • Rendering on a screen
  • Encoding/decoding and streaming
  • Format transformations
  • Disk writing, etc.

The software is supplied under MRTech standard license. In addition, MRTech offers its customers the services of software/system support, processing customization, new and custom processing modules implementation, etc.

CUDA processing

Fastvideo has designed high performance SDK for image and video processing on NVIDIA GPU. That SDK is a set of software components which correspond to standard image processing pipeline for camera applications. We cover all image processing stages starting from raw image acquisition from the camera to JPEG compression with storage to RAM or SSD.

All image processing is done completely on GPU and this leads to realtime performance or even faster for the full pipeline. We can also offer high speed imaging SDK for non-camera applications: offline raw processing, web, digital cinema, video walls, video transcoding, FFmpeg applications, 3D, VR, AI, etc.

Summary of Fastvideo SDK Values:

  • High Performance
  • Low latency
  • Better image quality
  • Reduced TCO for final applications
  • Compatibility with third-party SDKs on CPU and GPU
  • Ease of maintenance, updates and upgrades
  • Availability for full range of NVIDIA GPUs

Please contact us for more information.

Image source: Nuernberg Messe, Frank Boxler