If you are designing a machine that “sees,” then look for Avnet Electronics Marketing, an operating group of Avnet, Inc. (NYSE:AVT) at the Embedded Vision Summit on October 2-3, 2013. Avnet will host two hands-on workshops, deliver the featured “Targeting Computer Vision Algorithms to Microprocessors,” and offer three product demonstrations at the show.
The Embedded Vision Summit is a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software. The summit will be held at the Regency Inn and Conference Center in Westford, Mass.
“With emerging technology to enable high-quality embedded vision applications, embedded vision is becoming pervasive,” said Jim Beneke, vice president of global technical marketing for Avnet Electronics Marketing. “The Embedded Vision Summit is an excellent venue for Avnet to offer design engineers the strategies, technologies and product solutions that they need to differentiate their products by incorporating vision.”Engineers: Learn to Design Machines that See! Workshops On October 3, Avnet, along with other members of the Embedded Vision Alliance, will cohost a two-workshop session titled Engineers: Learn to Design Machines that See! that is designed to help design engineers jumpstart their vision applications.
- At the Blackfin® Embedded Vision Starter Kit Hands-On Workshop, Analog Devices, Avnet Electronics Marketing and BDTI will present a workshop exploring hardware and software for image processing and video analytics, featuring the Avnet/Analog Devices Embedded Vision Starter Kit. This workshop is an excellent starting point for vision application developers interested in exploring a wide range of embedded vision applications.
- In the Zynq-7000/Vivado Smarter Vision Hands-On Workshop, Avnet Electronics Marketing and Xilinx will present a workshop introducing SoC application development, with a specific focus on embedded vision using the Xilinx Vivado® Design Suite to target the Xilinx Zynq-7000 All Programmable SoC. An OpenCV example will be used to demonstrate how a software implementation of an embedded vision application can be accelerated by building a custom hardware accelerator on the Zynq SoC’s programmable fabric, achieving 1080P60 at 1W power consumption.
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