Tom Wilson, Vice President of Business Development at CogniVue, demonstrates the company's latest technologies and products at the October 2013 Embedded Vision Summit East.
October 2013 Embedded Vision Summit Product Demonstration: CogniVue Read More +
Michael Tusch, Founder and CEO of Apical, demonstrates a face detection algorithm running on the company's newly introduced Assertive Engine embedded vision processing core (integrated within a Zynq-7000 All Programmable SoC from fellow Alliance member Xilinx) at the October 2013 Embedded Vision Summit East.
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Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect
Chris Rowen, Fellow at Cadence and Founder of 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
Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A
Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when
Akshay Agarwal, North America Ecosystem Director at ARM, demonstrates face detection and image editing algorithms running on the company's Mali GPU core at the October 2013 Embedded Vision Summit East.
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Gabby Yi, DSP Applications Engineer at Analog Devices, demonstrates a face detection algorithm running on the BlackFin BF609-based FinBoard (co-developed with fellow Alliance member companies Avnet Electronics and BDTI) at the October 2013 Embedded Vision Summit East.
October 2013 Embedded Vision Summit Product Demonstration: Analog Devices Read More +
Goksel Dedeoglu, Embedded Vision R&D Manager at Texas Instruments, presents the "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade
Ken Lee, CEO of VanGogh Imaging, presents the "Using FPGAs to Accelerate 3D Vision Processing: A System Developer's View" tutorial within the "Implementing Vision Systems" technical session at the October 2013 Embedded Vision Summit East. Embedded vision system designers must consider many factors in choosing a processor. This is especially true for 3D vision systems,
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