April 2013 Embedded Vision Summit San Jose Presentations

Engineers: Learn to Design Machines That See!
April 25, 2013
San Jose Convention Center
San Jose, California, U.S.A.
In Conjunction with DESIGN West

Below are abstracts for some of the presentations at the now-concluded April 2013 Embedded Vision Summit San Jose.

"Challenges and Opportunities in Accelerating OpenCV" by José Alvarez, Xilinx
Computer vision continues to see increased adoption across a wide variety of applications. The industry’s trend towards the incorporation of Smarter Vision capabilities is driving the need for ever more intelligent algorithms that are capable of image understanding. OpenCV is an open source computer vision library aimed at real time image processing which serves as convenient and efficient starting point for developing systems incorporating Smarter Vision capabilities. Industry trends toward larger image sizes, faster frame rates and increased functionality provide the motivation for accelerating image processing functions in hardware within the OpenCV framework. This presentation explores the challenges and opportunities in creating embedded vision applications that require real-time performance which is achieved through a combination of software and hardware based libraries.

"Targeting Computer Vision Algorithms to Embedded Hardware" by Mario Bergeron, Avnet
This session explores how computer vision algorithms can be targeted to embedded hardware, including FPGAs. Topics include efficient movement of high pixel-rate video data, use of hardware accelerators, as well as use cases showing what is currently available with existing technology for high-performance image processing.

"What Can You Do With Embedded Vision?" by Jeff Bier, Embedded Vision Alliance
For decades, computer vision was a niche technology, because computer vision equipment was big, expensive, and complex to use. Recently, however, products like the Microsoft Kinect and vision-based automotive safety systems have demonstrated that computer vision can now be deployed even in cost-sensitive applications, and in ways that are easy for non-specialists to use. We use the term "embedded vision" to refer to the incorporation of visual intelligence into a wide range of systems, creating "machines that see and understand." This presentation is intended for those new to embedded vision, and those seeking ideas for new embedded vision applications and technologies. Jeff Bier, Founder of the Embedded Vision Alliance and President of BDTI, will present some of the most imaginative and compelling new products incorporating embedded vision, and will highlight how advances in enabling technologies, such as processors and sensors, are fueling accelerated innovation in embedded vision products.

"The OpenCV Open-Source Computer Vision Library: Present and Future" by Gary Bradski, OpenCV Foundation and Industrial Perception
OpenCV is an open source computer vision software component library that has gained widespread use in research and industry -- including, increasingly, in mobile devices, embedded systems, and cloud-based applications. Gary Bradski launched OpenCV at Intel in the late 1990s, and now guides the project through the OpenCV Foundation. This presentation is intended for vision software and algorithm developers and others who want to know about the latest developments in OpenCV and possible future directions for the project.

"Embedded 3D Stereo Vision: How it Works, How to Implement It, and How to Use It" by Goksel Dedeoglu, Texas Instruments
This tutorial is intended for technical audiences interested in learning about stereo vision for 3D depth perception. Starting with a brief description and comparison of depth sensing modalities, we present how a stereo vision camera works and discuss its advantages and limitations. We then demonstrate TI Stereo Module (TISMO), which is a DSP-optimized SW solution for embedded applications. We demonstrate how stereo depth information can help in various computer vision problems, including motion detection for video security, and obstacle detection for automotive and industrial safety.

Additional Information

If you have other questions about the Embedded Vision Summit, please contact us at summit@embedded-vision.com.

See you at the Summit! May 18-21 in Santa Clara, California!