ceva

Inuitive Selects CEVA-XM4 Intelligent Vision DSP for Next Generation 3D Computer Vision SoC

NU4000 multi-purpose SoC brings ultra-low power computer vision capabilities to augmented reality and virtual reality  devices, drones, robotics and more MOUNTAIN VIEW, Calif., – May 31, 2016 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that Inuitive, a developer of cutting edge depth sensing, computer

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“Democratizing Computer Vision Development: Lessons from the Video Game Industry,” a Presentation from WRNCH

Paul Kruszewski, President of WRNCH, presents the "Democratizing Computer Vision Development: Lessons from the Video Game Industry" tutorial at the May 2016 Embedded Vision Summit. Computer vision offers great promise: algorithms are maturing rapidly and processing power continues to grow by leaps and bounds. But today’s approach to computer vision software development – hiring a

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“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis

Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving

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Is the Future of Machine Vision Already Here? Business Insights from the 2016 Embedded Vision Summit

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. My biggest “aha moment” out of many during the Embedded Vision Summit 2016 came right at the beginning. I was a front row participant as moderator of the 2-day Business Insights track and have been closely

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“Computer Vision 2.0: Where We Are and Where We’re Going,” a Presentation from the Embedded Vision Alliance

Jeff Bier, founder of the Embedded Vision Alliance, presents the "Computer Vision 2.0: Where We Are and Where We're Going" plenary session at the May 2016 Embedded Vision Summit. Computer vision has rapidly transitioned from a research topic with few commercial applications to a mainstream technology with applications in virtually every sector of our economy.

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EVA180x100

Embedded Vision Insights: May 24, 2016 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Recognition and Classification in Augmented Reality Deep Learning and Computer Vision Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, I’m happy to announce the first two (of what will end up being more

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“Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras,” a Presentation from NVIDIA

Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play

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car

FotoNation Partners With Kyocera to Develop Intelligent Automotive Camera Technology

Jointly Developed Solutions to Enable Next Generation of Automotive Vision Systems May 17, 2016 04:05 PM Eastern Daylight Time–SAN JOSE, Calif.–(BUSINESS WIRE)–FotoNation Limited, a wholly owned subsidiary of Tessera Technologies, Inc. (NASDAQ:TSRA) and the leading provider of computational imaging and computer vision solutions for consumer and enterprise applications, has partnered with Kyocera Corporation (NYSE:KYO) (TOKYO:6971)

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VisionSystemsDesign

Deep Learning for Vision Processing: Google’s Perspective

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In a column published two months ago, I discussed the compelling potential and increasingly proven reality of convolutional neural networks and other deep learning techniques for solving a variety of longstanding computer vision challenges. 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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