Xilinx Demonstrates Responsive and Reconfigurable Vision Guided Intelligent Systems at Embedded World 2017

15/06/2017

Xilinx Demonstrates Responsive and Reconfigurable Vision Guided Intelligent Systems at Embedded World 2017 Xilinxs tools, libraries and methodologies infuse machine learning, computer vision, sensor fusion, and connectivity into vision guided intelligent systems Mar 02, 2017

SAN JOSE, Calif., March 2, 2017 /PRNewswire/ -- Xilinx, Inc. (NASDAQ: XLNX) is demonstrating responsive and reconfigurable vision guided intelligent systems at Embedded World 2017. Conference presentations and demonstrations will show how Xilinxs tools, libraries and methodologies infuse machine learning, computer vision, sensor fusion, and connectivity into vision guided intelligent systems. Visit the Xilinx Hall 1/1-205 at Embedded World 2017, March 14-16, at the Nuremberg Exhibition Hall in Nuremberg, Germany.

Xilinx Conference Presentations

OpenAMP Within An Industrial IoT Framework

Tuesday, March 14, 2017, 4:30 5:00 p.m.

Heterogeneous Multicore for Safety: Why You Need Multiple Difference Cores on Your SoC

Wednesday, March 15, 2017, 3:00 3:30 p.m.

Virtualization Methodology for Real Time Physical System Self Optimization

Wednesday, March 15, 2017, 4:00 4:30 p.m.

Session 18: FPGA-SoCs Managing Power for Performance with a Heterogeneous Processing System on a Chip

Wednesday, March 15, 2017

Designing Industry 4.0 Silicon Carbide High Power Inverters with Zynq-7000 and Zynq UltraScale MPSoC with Machine Learning Diagnostics Capability

Thursday, March 16, 2017, 2:00 2:30 p.m.

Session 35: Embedded Vision Combining OpenCV and High Level Synthesis to Reduce Embedded Vision Development Time

Thursday, March 16, 2017

Xilinx Demonstrations Stand 1/1-205

Driver Monitoring System Presented by Xylon

This real-time head and eyelid tracking demonstration is combined with precision gaze direction measurement that allows reliable driver attention and driver state detection under a wide range of challenging real-world conditions. The Xylon Driver Monitoring System, enabled on the Xilinx All Programmable Zynq SoC, is a mature, automotive qualified platform that provides the flexibility required to optimize system partitioning for vision processing performance at an affordable cost with a relatively low power profile.

Flying Camera System Using ADAS Framework Presented by Xylon

The advanced surround view system in this demonstration provides a 3D hemispheric view of the vehicles surrounding, with the driver able to dynamically adjust the perspective view. This system utilizes the Zynq UltraScale MPSoC with quad-core ARM Cortex -A53 device and dual ARM Cortex-R5 cores, in addition to the Mail -400 GPU for rendering the car model. Customers can utilize FPGA fabric parallelism and optimize their own unique features which is critical for real-time processing.

Hardware Acceleration of 4K60 Dense Optical Flow Presented by Xilinx

This demonstration shows the power of Zynq Ultrascale MPSoC by running a state-of-the-art Dense Optical Flow algorithm at 4K resolution with 60 frames per second in the programmable logic.

Deep Learning, Computer Vision, and Sensor Fusion Presented by Xilinx

This demonstration combines the three major, complex algorithms commonly used in vision-guided systems today including Convolutional Neural Network (CNN) for object detection or scene segmentation, Dense Optical Flow for motion tracking and Stereo Vision for depth perception, running on a single Zynq Ultrascale MPSoC device.

UHD HEVC Real-Time Compression and Streaming Playback Presented by Xilinx

Experience low latency, real-time UHD video compression/decompression and transmission with the video codec hard block integrated into the Zynq UltraScale MPSoC EV devices. Supporting up to 8K video, the video codec enables low bandwidth data transfer with low latency for real-time video applications including drone operation and video conferencing.

Embedded Vision Robotics System with Accelerated Image Recognition Presented by MLE

This industrial pick and place demonstration utilizes binary neural networks for machine vision recognition via programmable logic. Programmable logic implementation accelerates image recognition by over 1000x compared to software implementations while increasing recognition accuracy and reliability necessary for high performance, mission critical vision-enabled applications.

3D Object Recognition Industrial Camera for Machine Vision Presented by iVeia

This demonstration highlights the heterogeneous architecture of the Zynq UltraScale MPSoC as it enables traditional PC-based algorithms on an embedded camera platform to accelerate time to market in machine vision applications.

Dobby AI Drone Presented by ZeroTech and Deephi Deep Learning

The Zerotech Dobby AI is a pocket-sized drone that uses deep learning to detect human gestures powered by Xilinx Zynq SoC devices. This demonstration will also showcase the deep learning inference technologies from DeePhi.

Functional Safety Reference System Presented by Ikerlan

This demonstration showcases a comprehensive design template for custom solutions with Hardware Fault Tolerance (HFT=1) on a single device, compliant to the IEC 61508:2010 norm using a Xilinx Zynq SoC device. Advanced support for a comprehensive PC-controlled error injection function will be presented using Xilinxs new Zynq SoC Safety Reference System.

Intelligent Gateway for Cybersecurity Presented by SoCe

This demonstration combines sensor fusion, cybersecurity, real-time communication and control with machine learning, providing high availability from the edge to the cloud based on the Xilinx Zynq SoC platform. The production-ready intelligent gateway is time-aware and provides secure networking interoperability and control demonstrating the convergence of Operational Technology with the Information Technology.

All Programmable Industrial Co

LINK:	https://www.xilinx.com/news/press/2017/xilinx-demonstrates-responsive-...
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