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

Algorithms & Models, BDTI, Processors, Software, Tools, Videos /

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

Algorithms & Models, AMD, Medical, Processors, Sensors and Cameras, Software, Videos /

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

Algorithms & Models, Avnet, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

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 +

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Embedded Vision Insights: June 18, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: Embedded Vision Summit and Alliance Member Meeting Videos DSPs for Embedded Vision OpenCL-based Vision Software for Heterogeneous Processors Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I'm happy to report that the first few presentation videos from the recent Embedded Vision

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

Algorithms & Models, Processors, Software, Tools, videantis, Videos /

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

Algorithms & Models, Face Detection, Processors, Software, Synopsys, Tools, Videos /

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

Algorithms & Models, Processors, Software, Synopsys, Videos /

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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Embedded Vision Insights: June 2, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: Embedded Vision Summit Presentations Heterogeneous Computing for CNN-based Visual Search Smart Exterior Cameras in ADAS Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Last month's Embedded Vision Summit was by all measures a resounding success. With 50% more attendees, presentations and demonstrations than the 2014

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Automotive Vision Processing Moving Into the Camera

Articles, Technical Articles, videantis /

This article was originally published at videantis' website. It is reprinted here with the permission of videantis. Advanced driver assistance systems (ADAS) automate, adapt, or enhance automotive vehicles to increase safety and enhance the driving experience. These systems use sensors such as radar, ultrasound, and especially standard digital cameras to capture their surroundings. Video analytics

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May 2015 Embedded Vision Summit Proceedings

Algorithms & Models, Downloads, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools /

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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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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