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“OpenCV for Embedded: Lessons Learned,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "OpenCV for Embedded: Lessons Learned" tutorial at the May 2015 Embedded Vision Summit. OpenCV is the most widely used software component library for computer vision. Initially used mainly for algorithm development and prototyping, in recent years OpenCV has also been used extensively for […]

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“Efficient Implementation of Convolutional Neural Networks using OpenCL on FPGAs,” a Presentation From Altera

Deshanand Singh, Director of Software Engineering at Altera, presents the "Efficient Implementation of Convolutional Neural Networks using OpenCL on FPGAs" tutorial at the May 2015 Embedded Vision Summit. Convolutional neural networks (CNN) are becoming increasingly popular in embedded applications such as vision processing and automotive driver assistance systems. The structure of CNN systems is characterized

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Sorting Out Embedded Vision Systems

This article was originally published on June 10, 2015 at Altera's website. It is reprinted here with the permission of Altera. Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the

Smart Exterior Cameras Enhance Vehicle Safety, Security Read More +

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

Complex Trends and Challenges in Designing ADAS Systems

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. By Bob Siller Senior Strategic Marketing Manager, Automotive Altera In the race to develop reliable and cost-effective advanced driver assistance systems (ADAS), designers are presented with challenges to integrate functionality, develop scalable platforms and

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FPGA Programmability and Performance Empower Machine Vision and Surveillance

This is a reprint of an Altera white paper also found here (PDF). Cameras and other equipment used in Surveillance and Machine Vision perform a variety of different tasks, ranging from Image Signal Processing (ISP), Video Transport and Video Format Conversion to Video Compression and Analytics. Video Processing – Today versus Tomorrow The video processing

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