Welcome
The Embedded Vision Academy is a free online training facility for embedded vision product developers. This program provides educational and other resources to help engineers integrate visual intelligence―the ability of electronic systems to see and understand their environments―into next-generation embedded and consumer devices.
The goal of the Academy is to make it possible for engineers worldwide to gain the skills needed for embedded vision product and application development. Course material in the Embedded Vision Academy spans a wide range of vision-related subjects, from basic vision algorithms to image pre-processing, image sensor interfaces, and software development techniques and tools such as OpenCV. Courses will incorporate training videos, interviews, demonstrations, downloadable code, and other developer resources―all oriented towards developing embedded vision products.
The Alliance plans to continuously expand the curriculum of the Embedded Vision Academy, so engineers will be able to return to the site on an ongoing basis for new courses and resources. The listing below showcases the most recently published Embedded Vision Academy content. Reference the links on the right side of this page to access the full suite of embedded vision content, sorted by technology, application, function, viewer experience level, provider, and type.
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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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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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May 17, 2013 Jeff Bier, founder of the Embedded Vision Alliance and co-founder and President of BDTI, presents the "What Can You Do With Embedded Vision?" overview presentation at the April 2013 Embedded Vision Summit. This presentation is intended for those new to embedded vision, and those seeking ideas for new embedded vision applications and technologies. |
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May 15, 2013 Gary Bradski, President and CEO of the OpenCV Foundation, presents the "OpenCV Open-Source Computer Vision Library: Present and Future" overview presentation at the April 2013 Embedded Vision Summit. 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. |
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May 15, 2013 Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. |
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May 14, 2013 Markus Wloka, R&D Director for System-Level Solutions at Synopsys, presents the "Lessons Learned: FPGA Prototyping of a Processor-Based Embedded Vision Application" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. This presentation covers the steps of building a programmable vision system and highlights the importance of having software-driven tests and using a chain of proven tools and components. |
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May 13, 2013 Mario Bergeron, Technical Marketing Engineer at Avnet Electronics, presents the "Targeting Computer Vision Algorithms to Embedded Hardware" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. This presentation explores how computer vision algorithms can be targeted to embedded hardware, including FPGAs. |
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May 13, 2013 Chris Rowan, Chief Technology Officer at Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Rowen discusses the challenges of porting and tuning applications to a high-performance imaging DSP. An imaging-specific DSP can make a huge difference in the performance of computationally intensive algorithms. But you can’t expect to just quickly port those algorithms –you need to tune them. |
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