Xilinx to demonstrate vision-guided systems at Embedded Vision Europe

Xilinx, Inc. will demonstrate responsive and reconfigurable vision-guided intelligent systems at Embedded Vision Europe (EVE) 2017.  Through conference presentation and demonstrations, Xilinx will showcase how its tools, libraries and methodologies infuse computer vision, sensor fusion, and connectivity into vision-guided intelligent systems, enabling users to innovate, differentiate, and reduce time-to-market. Visit Xilinx at Stand 9 at EVE, October 12-13, 2017, at the International Congress Center (ICS), Stuttgart, Germany.

Xilinx In-Booth Technology Showcase  – Booth 9

·         Semantic segmentation with custom Convolutional Neural Network – Presented by Xilinx

This demonstration highlights a design example of Semantic Segmentation to recognize the human body in the foreground -overlapped with green color mask- from the background scene. In addition to the Xilinx® Zynq® UltraScale+™ MPSoC device and various I/O peripherals, the design contains a combination of image processing cores and a custom Convolutional Neural Network core with 19 layers and 8-bit fixed point weights based on FCN-AlexNet. The design was developed with the reVISION™ stack which includes the SDSoC™ development environment 2017.2 release with Xilinx deep learning libraries (xfDNN) and hardware accelerated OpenCV libraries (xfOpenCV).

·         Sensor Fusion with Xilinx All Programmable SoCs  – Presented by Avnet

This demonstration implements sensor fusion and image warping with a Python 1300 camera module and a thermal camera module on the Avnet PicoZed™ Embedded Vision Kit. The tool demonstrates the advantages of running hardware-accelerated OpenCV functions in the programmable logic of Xilinx All Programmable SoC devices.

·         MJPEG streaming with Avnet MiniZed board  – Presented by Avnet

This demonstration features MJPEG streaming over WiFi with the Avnet MiniZed™ board in combination with a camera PMOD adapter board. This board is part of a cost-optimized development environment enabling the programming of Xilinx Zynq-7000 All Programmable SoC devices with traditional programming languages like C or C++.

Xilinx Conference Presentation

·         Accelerating Embedded Vision and Machine Learning applications at the Edge

o    Thursday, October 13, 2017, 15.30 – 16.00 p.m.

The presentation will first summarise the compelling benefits of responsiveness and flexibility derived from All Programmable technology in embedded vision applications.  It will then describe the new reVISION acceleration stack which enables software-defined programming using popular frameworks and libraries, putting those benefits in the hands of all embedded vision designers without requiring them to have access to hardware designers.


Greg Blackman asks what it takes to commercialise new imaging technology


Embedded vision, deep learning, and Industry 4.0 could all have a big impact on the machine vision sector in the future. Three experts give their opinions


Andrew Williams explores the production and automation markets in China, India and other fast-growing nations


Pierre Cambou, imaging activity leader at Yole Développement, analyses the merger and acquisition landscape for machine vision


Following a successful European Machine Vision Forum, which brought together representatives from industry and research, Professor Bernd Jähne at the HCI, Heidelberg University and a board member of the European Machine Vision Association, argues collaboration between industry and academia is now more important than ever