Intel

“Accelerating Deep Learning Using Altera FPGAs,” a Presentation from Intel

Algorithms, Intel, Processors, Software, Tools, Videos /

Bill Jenkins, Senior Product Specialist for High Level Design Tools at Intel, presents the "Accelerating Deep Learning Using Altera FPGAs" tutorial at the May 2016 Embedded Vision Summit. While large strides have recently been made in the development of high-performance systems for neural networks based on multi-core technology, significant challenges in power, cost and, performance […]

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“Real-world Vision Systems Design: Challenges and Techniques,” a Presentation from Intel

Algorithms, Edge AI and Vision Alliance, Intel, Software, Tools, Videos /

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "Real-world Vision Systems Design: Challenges and Techniques" tutorial at the May 2016 Embedded Vision Summit. Computer vision is central to many modern, cool products and technologies, including augmented reality, virtual reality and drones. Thanks to recent advances in system-on-chip and embedded systems design,

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Movidius Brings Artificial Vision Intelligence to FLIR Systems’ Latest Thermal Imaging Product

FLIR Systems, Intel, News /

FLIR's New Boson™ Thermal Camera Core to Feature Onboard Visual Intelligence Computing Through Custom Implementation of Myriad 2 VPU SAN MATEO, CA–(Marketwired – Apr 18, 2016) – Movidius, the leader in low-power machine vision, today announced a strategic collaboration with FLIR Systems, a global leader in thermal imaging technology, to bring advanced computer vision capabilities

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Efficient Implementation of Neural Network Systems Built on FPGAs, Programmed with OpenCL

Articles, Intel, Technical Articles /

This technical article was originally published at Altera's website. It is reprinted here with the permission of Altera. Deep learning neural network systems currently provide the best solution to many large computing problems for image recognition and natural language processing. Neural networks are inspired by biological systems, in particular the human brain; they use conventional

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Figure1

OpenCL Streamlines FPGA Acceleration of Computer Vision

Algorithms, AMD, Articles, Intel, Processors, Software, Technical Articles, Tools /

The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the

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

Algorithms, Edge AI and Vision Alliance, Intel, Software, Tools, Videos /

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

Algorithms, Intel, Processors, Software, Tools, Videos /

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

Algorithms, Articles, Intel, Processors, Software, Technical Articles, Tools /

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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Figure3

Smart Exterior Cameras Enhance Vehicle Safety, Security

AMD, Articles, Automotive, Intel, NXP Semiconductors, Processors, Sensors and Cameras, Technical Articles, Texas Instruments, videantis /

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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Figure3

Smart Exterior Cameras Enhance Vehicle Safety, Security

AMD, Automotive, Intel, NXP Semiconductors, Processors, Sensors and Cameras, Technical Articles, Texas Instruments, videantis /

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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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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