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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June 19, 2013 Gershom Kutliroff, CTO and co-founder of Omek Interactive, presents the "Why 3D Sensors Are a Game-Changer for Embedded Vision" tutorial within the "Image Sensors and Front-End Image Processing" technical session at the April 2013 Embedded Vision Summit. |
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June 07, 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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June 02, 2013 Gary Bradski, President and CEO of the OpenCV Foundation, presents the "Using OpenCV in Industrial Robotics" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit. |
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June 02, 2013 Paul Zoratti, Automotive Driver Assistance System Architect at Xilinx, presents the "Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit. For more information about Xilinx, please send the company an email or visit the company's website. |
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May 30, 2013 Radhesh Bhat, Architect at PathPartner Technology, presents the "Real-Time Driver Drowsiness Detection" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit. |
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May 29, 2013 Goksel Dedeoglu, manager of the Embedded Vision team at Texas Instruments' Systems and Applications R&D Center, presents the "Embedded 3D Stereo Vision: How it Works, How to Implement It, and How to Use It" tutorial within the "Image Sensors and Front-End Image Processing" technical session at the April 2013 Embedded Vision Summit. This tutorial is intended for technical audiences interested in learning about stereo vision for 3D depth perception. |
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May 29, 2013 Ning Bi, Senior Director of Technology in the Computer Vision System team at Qualcomm Technologies, presents the "Heterogeneous Mobile Processing Platforms for Computer Vision Applications" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. |
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May 29, 2013 Christopher Malato, Systems Engineer at National Instruments, presents the "Integrating Embedded Vision and Motion Control" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit. |
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May 29, 2013 Simon Morris, CEO of CogniVue, presents the "Developing Low-Cost, Low-Power, Small Vision Systems" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit. |
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May 28, 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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