Embedded Vision Insights: June 21, 2016 Edition

Dear Colleague,

New videos from the recent Embedded Vision Summit focus on advanced driver assistance systems (ADAS), industry standards, and vision market and investment opportunities:

• "What's Hot in Embedded Vision for Investors?," a panel discussion with Bank of America Merrill Lynch, Firelake Capital Management, Intel Capital, TandemLaunch, and Vision Ventures
• "Sensing Technologies for the Autonomous Vehicle" from NXP Semiconductors
• "Making Existing Cars Smart Via Embedded Vision and Deep Learning" from NAUTO
• "The Vision API Maze: Options and Trade-offs" from the Khronos Group
• "Programming Embedded Vision Processors Using OpenVX" from Synopsys, and
• "How Deep Learning Is Enabling Computer Vision Markets" from Tractica (also see Tractica's recently published market research report on deep learning processing options)

While you're on the Alliance website, don't forget to review all the other great new content there, including:

• The last several chapters in ARM's technical manual "Guide to OpenCL Optimizing Convolution"
• Blog posts from the Alliance and its members on Embedded Vision Summit takeaways, software development trends, and ADAS and other business opportunities, and
• News releases from Allied Vision (on its planned attendance at Nepcon Thailand 2016), Imagination Technologies (on its inclusion in Sunplus' new automotive SoC), Infineon and Movidius (on their inclusion in Lenovo's first Google Tango-based smartphone), Sighthound (on its partnership with Intel to bring computer vision to the NUC PC), and Xilinx (on its new dual-core Zynq UltraScale+ MPSoCs).

Finally, I'd like to tell you about an upcoming tutorial covering deep learning for vision using convolutional neural networks (CNNs) and the Caffe open-source framework. Taking place September 22, 2016 at the Hyatt Regency Hotel in Cambridge, Massachusetts, this full-day event is organized by the Embedded Vision Alliance and BDTI. It will be presented by the primary Caffe developers from U.C. Berkeley's Vision and Learning Center, and will take participants from an introduction through the theory behind convolutional neural networks to their actual implementation, including multiple hands-on labs. A discounted registration fee of $600 is available only until July 8, so don't delay in signing up! For more tutorial details, and to register, please visit the event page.

Thanks as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. I welcome your suggestions on what the Alliance can do to better service your needs.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

"Augmented Reality for Industrial Productivity," a Presentation from DAQRI
Wenyi Zhao, Ph.D., Director of the Vision and Sensor Group at DAQRI, delivers the presentation, "Augmented Reality for Industrial Productivity," at the March 2016 Embedded Vision Alliance Member Meeting. Zhao discusses how his firm's computer-vision-enabled augmented reality helmet is being used to dramatically improve productivity in industrial applications.

"Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications," a Presentation from Analog Devices
Rajesh Mahapatra, Engineering Manager at Analog Devices, presents the "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" tutorial at the May 2014 Embedded Vision Summit. Significant resemblance and overlap exist among the pre-processing blocks of different vision applications. For instance, image gradients and edges have proven beneficial for a variety of applications, such as face detection, traffic sign recognition, and fault detection. What if such pre-processing was available "for free" to vision developers, as a built-in hardware feature with a compute pipelining mechanism? In this presentation, Mahapatra illustrates how edge detection as a pre-processing tool can be used effectively to reduce the computational cost of vision applications, enabling low-power implementations. Analog Devices' examples include the detection of faces, traffic speed limit signs and irises, demonstrating a significant reduction in programmable DSP loading.

More Videos

The PowerVR Imaging Framework for Android
A previous article about heterogeneous architectures, notes Doug Watt, Multimedia Strategy Manager at Imagination Technologies, identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an innovative solution designed to address this common issue in mobile and embedded devices– and it comes in the form of the PowerVR Imaging Framework. More

Intelligent Design Challenges for Automotive Engineers
With an estimated 2020 market of $60B and a CAGR of almost 23% between now and then, ADAS is becoming the new sweetheart of the automotive industry, driving most of the innovation within this enormous ecosystem. It's no surprise, therefore, that we see announcements and future product introductions almost on a daily basis, notes Eran Briman, Vice President of Marketing at CEVA. More

More Articles

System Architect, Autonomous Driving – Intel FPGA

More Community Discussions

Intel Acquires Computer Vision for IOT, Automotive

Synopsys' Next-Generation Embedded Vision Processors Boost Performance up to 100X

Inuitive Selects CEVA-XM4 Intelligent Vision DSP for Next Generation 3D Computer Vision SoC

In Series Production: Eight New Basler ace Models with PYTHON Sensors from ON Semiconductor

More News

Sensors Expo: June 21-23, 2016, San Jose, California

Sensors Expo is the only event focused on sensors and sensor-integrated systems. Experience 300+ sensors exhibitors, invaluable networking, and 55+ conference sessions, including one from Embedded Vision Alliance founder Jeff Bier. Use code EMBEDDED50 for conference pass discounts or a free Expo Hall pass.

IEEE Computer Vision and Pattern Recognition (CVPR) Conference: June 26-July 1, 2016, Las Vegas, Nevada

Deep Learning for Vision Using CNNs and Caffe: A Hands-on Tutorial: September 22, 2016, Cambridge, Massachusetts

IEEE International Conference on Image Processing (ICIP): September 25-28, 2016, Phoenix, Arizona

Embedded Vision Summit: May 1-3, 2017, Santa Clara, California