Processors

“Choosing a Processor for Embedded Vision: Options and Trends,” a Presentation From BDTI

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Jeff Bier, President of Berkeley Design Technology, Inc. (BDTI) and Founder of the Embedded Vision Alliance, presents the "Choosing a Processor for Embedded Vision: Options and Trends" tutorial at the May 2015 Embedded Vision Summit. Computer vision applications typically demand lots of processor performance. These applications also tend to be complex and fast-changing, so developers […]

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“Implementing Eye Tracking for Medical, Automotive and Headset Applications,” a Presentation From Xilinx and EyeTech Digital Systems

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Dan Isaacs, Director of Smarter Connected Systems at Xilinx, and Robert Chappell, Founder of EyeTech Digital Systems, co-present the "Implementing Eye Tracking for Medical, Automotive and Headset Applications" tutorial at the May 2015 Embedded Vision Summit. When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain

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May 2015 Embedded Vision Summit Technical Presentation: “System-level Design for Embedded Vision with FPGA-based Programmable SoCs,” Mario Bergeron, Avnet Electronics Marketing

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Mario Bergeron, Technical Marketing Engineer at Avnet Electronics Marketing, presents the "System-Level Design for Embedded Vision with FPGA-based Programmable SoCs" tutorial at the May 2015 Embedded Vision Summit. FPGA-based programmable system-on-chip (SoC) devices offer capabilities beyond those found in traditional embedded processors. The programmability and vast parallel processing capabilities of the FPGA fabric allow developers

May 2015 Embedded Vision Summit Technical Presentation: “System-level Design for Embedded Vision with FPGA-based Programmable SoCs,” Mario Bergeron, Avnet Electronics Marketing Read More +

May 2015 Embedded Vision Summit Technical Presentation: “3D from 2D: Theory, Implementation, and Applications of Structure from Motion,” Marco Jacobs, videantis

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Marco Jacobs, Vice President of Marketing at videantis, presents the "3D from 2D: Theory, Implementation, and Applications of Structure from Motion" tutorial at the May 2015 Embedded Vision Summit. Structure from motion uses a unique combination of algorithms that extract depth information using a single 2D moving camera. Using a calibrated camera, feature detection, and

May 2015 Embedded Vision Summit Technical Presentation: “3D from 2D: Theory, Implementation, and Applications of Structure from Motion,” Marco Jacobs, videantis Read More +

May 2015 Embedded Vision Summit Technical Presentation: “Low-power Embedded Vision: A Face Tracker Case Study,” Pierre Paulin, Synopsys

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Pierre Paulin, R&D Director for Embedded Vision at Synopsys, presents the "Low-power Embedded Vision: A Face Tracker Case Study" tutorial at the May 2015 Embedded Vision Summit. The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to

May 2015 Embedded Vision Summit Technical Presentation: “Low-power Embedded Vision: A Face Tracker Case Study,” Pierre Paulin, Synopsys Read More +

“Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation,” a Presentation From Synopsys

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Bruno Lavigueur, Project Leader for Embedded Vision at Synopsys, presents the "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation" tutorial at the May 2015 Embedded Vision Summit. Deep learning-based object detection using convolutional neural networks (CNN) has recently emerged as one of the leading approaches for achieving state-of-the-art detection accuracy for a wide range of

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May 2015 Embedded Vision Summit Proceedings

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The Embedded Vision Summit was held on May 12, 2015 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2015 Embedded Vision Summit

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Smart Exterior Cameras Enhance Vehicle Safety, Security

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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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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

Algorithms, Articles, BDTI, Imagination Technologies, Intel, NVIDIA, Processors, Software, Technical Articles, Tools /

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

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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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