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 Xilinx's
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
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 vehicle's 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 Xilinx's 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 Control Systems—Presented by BE
Services, Matrikon, and RTI
This demonstration will
showcase an Industrial Control System (ICS) providing a
customer-ready platform showcasing network interoperability with
secure edge analytics extendable to the cloud and powered by the
All Programmable capabilities of the Zynq SoC and Zynq UltraScale+
MPSoC devices.
Xilinx Demonstrations by Alliance Program Members
This
year, over 25 Xilinx Alliance Program members comprised of IP
providers, EDA vendors, embedded software providers, system
integrators, and hardware suppliers will showcase Xilinx-based
technology including:
Alliance Program Premier Members
- Avnet Memec-Silica – Hall 1/1-370, Hall 1/1-205
- Topic Embedded Products – Hall 3/3-111
- Xylon – Hall 1/1-205
Alliance Program Certified Members
- DAVE Embedded Systems – Hall 4/4-481
- Enclustra GmbH – Hall 4A/4A-121, Hall 1/1-101
- Missing Link Electronics – Hall 4/4-478, Hall 1/1-205
- SoC-e – Hall 1/1-205
Alliance Program Members
- Aldec Inc. – Hall 4/4-560
- Digilent Inc. – Hall 1/1-208
- eSOL Company – Hall 4/4-634
- HMS Industrial Networks – Hall 1/1-550
- iVeia – Hall 1/1-205
- MathWorks – Hall 4/4-110
- Mentor Graphics (Deutschland) – Hall 4/4-510
- NI – Hall 1/1-652, Hall 4/4-108
- NetModule – Hall 3/3-320
- Port GmbH – Hall 1/1-648
- Solectrix – Hall4A/4A-126
- X2E – Hall 4/4-370
Alliance Associate Members
- 3S Smart Software Solutions (Codesys) – Hall 1/1-205
- Antmicro – Hall 4A/4A-121
- dSPACE – Hall 4/4-316
- Ikerlan – Hall 1/1-205
- Koenig-pa – Hall 4/4-380
- Lynx Software Technologies – Hall 4/4-423
- Matrikon – Hall 1/1-205
- RBZ Robot Design S.L. RBZ Embedded Logics – Hall 3/3-500
Complete information about Xilinx's participation throughout
Embedded World is also available at
https://www.xilinx.com/about/events/2017_xilinx_embedded_world.html#participation
About Xilinx
Xilinx is the world's leading provider of All Programmable
FPGAs, SoCs and 3D ICs. These industry-leading devices are coupled
with a next-generation design environment and IP to serve a broad
range of customer needs, from programmable logic to programmable
systems integration. For more information, visit
www.xilinx.com.
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© Copyright 2017 Xilinx, Inc. Xilinx, the Xilinx logo, Artix,
ISE, Kintex, Spartan, Virtex, Vivado, Zynq, and other designated
brands included herein are trademarks of Xilinx in the United
States and other countries. ARM, Cortex, and Mali are registered
trademarks of ARM in the EU and other countries. All other
trademarks are the property of their respective owners.
Xilinx
Silvia E.
Gianelli
(408) 626-4328
silvia.gianelli@xilinx.com
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SOURCE Xilinx, Inc.