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
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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. |
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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. |
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Processors
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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. |
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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. |
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Sensors
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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: |
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April 16, 2013 By Brian Dipert Yair Siegel Simon Morris Liat Rostock Gershom Kutliroff |
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Software
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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. |
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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. |
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Tools
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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. |
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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. |
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