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September 2012 Embedded Vision Summit Replay

Download the Conference Proceedings

September 2012 Embedded Vision Summit Proceedings
(Click to download.)

View the Conference Keynote Presentations

Morning Keynote: Professor Rosalind Picard, MIT Media Lab

Afternoon Keynote: Gary Bradski, OpenCV Foundation

View the Conference Overview Presentations

"Introduction to Embedded Vision," Jeff Bier, Embedded Vision Alliance

View the Conference Technical Presentations

"Automotive Safety Applications and Algorithms," Gabby Yi, Analog Devices

"Harnessing Hardware Accelerators to Move from Algorithms to Embedded Vision," Michael Tusch, Apical

"Addressing System Design Challenges in Embedded Vision," Mario Bergeron, Avnet

"Image Sensor Options and Trends for Embedded Vision," Eric Gregori, BDTI

"Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications," Simon Morris, CogniVue

"Using FPGAs to Accelerate Embedded Vision Applications," Kamalina Srikant, National Instruments

"Optimization and Acceleration for OpenCV-Based Embedded Vision Applications," Bo Wu, Synopsys

"Moving Object Segmentation for Security and Surveillance Applications," Goksel Dedeoglu, Texas Instruments

"Challenges and Techniques in Using CPUs and GPUs for Embedded Vision," Ken Lee, VanGogh Imaging

"Image Processing for Object Recognition and Tracking," Dan Isaacs, Xilinx, and Michael Fawcett, iVeia

View the Conference Panel Discussions

Analog Devices, iVeia, and Texas Instruments

Apical, National Instruments, and VanGogh Imaging

Avnet, CogniVue, and Synopsys

View the Technology Demonstrations

Analog Devices

Avnet

MathWorks

National Instruments

Synopsys

VanGogh Imaging

Additional Information

If you have questions about the Embedded Vision Summit, contact us.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
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