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May 2014 Embedded Vision Summit Technical Presentation: “Computer Vision Powered by Heterogeneous System Architecture (HSA),” Harris Gasparakis, AMD

Algorithms, AMD, Processors, Software, Tools, Videos /

Harris Gasparakis, Ph.D., OpenCV manager at AMD, presents the "Computer Vision Powered by Heterogeneous System Architecture (HSA)" tutorial at the May 2014 Embedded Vision Summit. Gasparakis reviews the HSA vision and its current incarnation though OpenCL 2.0, and discusses its relevance and advantages for Computer Vision applications. HSA unifies CPU cores, GPU compute units, and […]

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May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx

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Kees Vissers, Distinguished Engineer at Xilinx, presents the "Programming Novel Recognition Algorithms on Heterogeneous Architectures" tutorial at the May 2014 Embedded Vision Summit. The combination of heterogeneous systems, consisting of processors and FPGA, is a high-performance implementation platform for image and vision processing. One of the significant hurdles in leveraging the compute potential was the

May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx Read More +

October 2013 Embedded Vision Summit Product Demonstration: Avnet Electronics (Xilinx)

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Mario Bergeron, Technical Marketing Engineer at Avnet Electronics, demonstrates a Canny edge detection OpenCV algorithm running on the MicroZed board and image processing algorithms running on the ZedBoard (both boards based on the Zynq-7000 All Programmable SoC and co-developed with fellow Alliance member company Xilinx)  at the October 2013 Embedded Vision Summit East. For the

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April 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches,” Paul Zoratti, Xilinx

Algorithms, AMD, Automotive, Object Tracking, Processors, Software, Tools, Videos /

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.

April 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches,” Paul Zoratti, Xilinx Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Challenges and Opportunities in Accelerating OpenCV,” José Alvarez, Xilinx

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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

April 2013 Embedded Vision Summit Technical Presentation: “Challenges and Opportunities in Accelerating OpenCV,” José Alvarez, Xilinx Read More +

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The Embedded Vision Revolution

AMD, Articles, Edge AI and Vision Alliance, Medical, Technical Articles /

Semiconductor and software advances are enabling medical devices to derive meaning from digital still and video images. By Brian Dipert Editor-in-Chief, Embedded Vision Alliance Senior Analyst, BDTI and Kamran Khan Technical Marketing Engineer, Xilinx This article was originally published in the May 2013 edition of MD+DI (Medical Device and Diagnostic Industry) Magazine. It is reprinted

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An Architecture for Compute-Intensive, Custom Machine Vision

AMD, Articles, Processors, Technical Articles, Texas Instruments /

By Tom Catalino Vice President Critical Link, LLC and Asheesh Bhardwaj DSP Senior Applications Engineer Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (560 KB PDF). Introduction Machine vision technology is growing in adoption, and it has been and will continue to be deployed in a

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Using Xilinx FPGAs to Solve Endoscope System Architecture Challenges

AMD, Articles, Medical, Processors, Technical Articles /

By Jon Alexander, Technical Marketing Manager for ISM (Industrial, Scientific, Medical) Markets Xilinx Corporation Image enhancement functions – noise reduction, edge enhancement, dynamic range correction, digital zoom, scaling, etc – are key elements of many embedded vision designs, in improving the ability for downstream algorithms to automatically extract meaning from the image. Interface flexibility and

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September 2012 Embedded Vision Summit Presentation: “Image Processing for Object Recognition and Tracking,” Dan Isaacs, Xilinx, and Michael Fawcett, iVeia

Algorithms, AMD, Automotive, Object Tracking, Processors, Security, Software, Videos /

Dan Isaacs, Director of Processing Product Marketing at Xilinx, and Michael Fawcett, Chief Technology Officer at iVeia, presents the "Image Processing for Object Recognition and Tracking" tutorial, part of the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit. Topics discussed included trends in image processing for embedded vision applications,

September 2012 Embedded Vision Summit Presentation: “Image Processing for Object Recognition and Tracking,” Dan Isaacs, Xilinx, and Michael Fawcett, iVeia Read More +

Designing High-Performance Video Systems in 7 Series FPGAs with the AXI Interconnect

AMD, Articles, Processors, Technical Articles /

By Sateesh Reddy Jonnalagada and Vamsi Krishna Xilinx Corporation Embedded vision applications deal with a lot of data; a single 1080p60 (1920×1080 pixel per frame, 60 frames per second) 24-bit color video stream requires nearly 3 Gbps of bandwidth, and 8-bit alpha (transparency) or 3-D depth data further amplifies the payload by 33% in each

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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