FPGA-based image processing: Develop embedded systems faster: Page 2 of 2

September 04, 2019 //By Christoph Hammerschmidt
FPGA-based image processing: Develop embedded systems faster
The development of image processing software for embedded systems is a time-consuming and costly undertaking. An EU consortium, to which the Fraunhofer Institute for Optronics, Systems Engineering and Image Evaluation IOSB belongs, has simplified the process. The result of the joint development work is the Tulipp research platform - which is supposed to be 100 times faster than a high-end PC.

In order to develop and test the Tulipp platform, the consortium worked on three concrete application cases: The research team at Fraunhofer IOSB was dedicated to the methods for detecting obstacles in a drone with stereo cameras, while other project partners dealt with pedestrian detection in the vicinity of a car and with the live image enhancement of X-rays from a mobile C-arm during an operation. As part of Tulipp, they have ported corresponding image processing methods from C++ to FPGA.

The procedures, which originally took several seconds on a high-end PC to analyze a single image, now run on the drone in real time, i.e. approximately 30 images per second are analyzed. The speed of pedestrian detection has also been increased by a factor of 100: Instead of one image per seven seconds, the system now creates 14 images per second. And the radiation during X-ray examinations could be reduced to a quarter due to upstream filters and better image evaluation. At the same time, the energy consumption of all three applications could be reduced many times over.

More information: https://www.iosb.fraunhofer.de/servlet/is/12481/

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