Thoughts towards addressing complexity, platforms and notably IOT.
Developing embedded systems faster
by Ulrich Pontes, Fraunhofer-Gesellschaft
Whether for the car or the drone: Developing image processing software for embedded systems takes a lot of time and is therefore very expensive. Now the Tulipp platform makes it possible to develop energy-efficient embedded image processing systems more quickly and less expensively, with a drastic reduction in time-to-market. The Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB is a member of the EU consortium which simplified the process.
At first glance drones, driver assistance systems and mobile medical diagnostic equipment don't appear to have much in common. But in reality they do: they all make increasing use of image processing components, for example for detecting obstacles and pedestrians. Image processing can also be used with mobile X-ray equipment to ensure adequate image quality at reduced radiation levels, thus considerably reducing radioactive exposure.
In contrast to a workstation computer, where dimensions and energy consumption are not particularly critical factors, applications like these require for small, lightweight, energy-efficient image processing components that are nevertheless real-time capable. Hardware platforms based on conventional computer architectures and processors can't properly meet these requirements. This is why embedded systems using field-programmable gate arrays (FPGAs) are often used. ... "
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