The EMVA proudly announces that Mr. Marco Jacobs, Vice President Marketing at videantis GmbH, will give his presentation titled ‘Demystifying embedded vision processing architectures’ at Embedded VISION Europe.

Marco Jacobs, VP of marketing at videantis, has over 20 years of experience in the semiconductor IP industry and video/imaging applications. At videantis, he is responsible for corporate and product marketing and works with key semiconductor manufacturers to bring novel, higher-quality computer vision and video applications to its customers.

Prior to joining videantis, Marco was VP of marketing at Vector Fabrics, director of multimedia marketing at ARC, held management positions at semiconductor startups Silicon Hive (acquired by Intel) and BOPS, and was a software architect at Philips. Marco studied computer science at the Delft University of Technology in the Netherlands and at the University of North Carolina, Chapel Hill. He holds 7 issued patents.

Abstract of Marco’s presentation:

Computer vision algorithms have made tremendous progress and are rapidly becoming crucial components in new applications such as automotive ADAS and self-driving cars, mobile phones, AR/VR, IoT, smart surveillance cameras, and drones. Even simple computer vision algorithms require huge performance and to enable these to run on embedded, small and low power devices requires specialized architectures.
In this talk we will analyze typical computer vision algorithms and show how they’re different from typical workloads. We will then give an overview of the different processing architectures that can be used to implement computer vision algorithms: CPUs, GPUs, vision processors, FPGAs, and hard-wired accelerators. We’ll show trade-offs and typical performance, power, and cost factors. Finally, we’ll look at how these components are integrated into system-level architectures.
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The debut of EMVA’s brandnew conference Embedded VISION Europe, supplemented by an already well booked table top exhibition, will take place 12-13 October 2017 in Stuttgart.

Find all conference details at www.embedded-vision-emva.org

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