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Technologies

The listing below showcases the most recently published Embedded Vision Academy content associated with various embedded vision technologies. Reference the links on the right side of this page to access the full suite of technology-tailored embedded vision content, sorted by technology.

Algorithms
May 19, 2013

Professor Pieter Abbeel of the University of California, Berkeley, presents the "Artificial Intelligence for Robotic Butlers and Surgeons" keynote at the April 2013 Embedded Vision Summit. Professor Abbeel received a BS/MS in Electrical Engineering from KU Leuven (Belgium) and his Ph.D. degree in Computer Science from Stanford University in 2008. He joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences.

Academy
May 18, 2013

Tim Jones, principal application engineer at MathWorks, presents the "Algorithms for Object Detection and Tracking" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit.

Academy
Processors
May 18, 2013

Mark Kulaczewski, VP of System Integration and Co-Founder at videantis, presents the "Software Approach for Easing Embedded Acceleration of OpenCV Applications" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit.

Academy
May 17, 2013

José Alvarez, Engineering Director for Video Technology at Xilinx, presents the "Challenges and Opportunities in Accelerating OpenCV" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. 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.

Academy
Sensors
April 25, 2013

The Embedded Vision Summit was held on April 25, 2013 in San Jose, California, as a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software.

The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a consolidated ZIP file:

Academy
April 16, 2013

By Brian Dipert
Senior Analyst, BDTI
Editor-in-Chief, Embedded Vision Alliance

Yair Siegel
Director of Marketing, Multimedia, CEVA

Simon Morris
Chief Executive Officer, CogniVue

Liat Rostock
Marketing Director, eyeSight Mobile Technologies

Gershom Kutliroff
Chief Technical Officer, Omek Interactive

Academy
Software
May 18, 2013

Tim Jones, principal application engineer at MathWorks, presents the "Algorithms for Object Detection and Tracking" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit.

Academy
May 18, 2013

Mark Kulaczewski, VP of System Integration and Co-Founder at videantis, presents the "Software Approach for Easing Embedded Acceleration of OpenCV Applications" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit.

Academy
Tools
May 18, 2013

Mark Kulaczewski, VP of System Integration and Co-Founder at videantis, presents the "Software Approach for Easing Embedded Acceleration of OpenCV Applications" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit.

Academy
May 17, 2013

José Alvarez, Engineering Director for Video Technology at Xilinx, presents the "Challenges and Opportunities in Accelerating OpenCV" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. 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.

Academy