Amol Borkar, an engineer in the RealSense team at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Borkar demonstrates head tracking and 3D scanning applications that harness a laptop computer's RealSense camera subsystem.
Intel Demonstrations of Head Tracking and 3D Scanning Read More +
In this edition of Embedded Vision Insights: Embedded Vision Summit Discount Ends Soon Real-time Hyperspectral Imaging Four Key Vision Growth Markets in 2016 Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m pleased to announce that we’ve launched an all-new Embedded Vision Summit area of the Alliance website,
Embedded Vision Insights: December 10, 2015 Edition Read More +
An economic downturn and exchange rate volatility are making business conditions tough for vendors of video surveillance equipment in a number of Latin American countries. As a result, the Latin American market is forecast to decline by 7.7% to $580 million in 2015. Brazil is the largest market in Latin America. Its economy has been
Tough Conditions in Latin American Video Surveillance Market Read More +
Powerful vision processors have existed for some time now, as exemplified by supercomputers and the longstanding academic research on computer vision. What's recently changed are the "low-cost" and "energy-efficient" aspects of vision processing, along with evolutionary (and sometimes revolutionary) accuracy and other improvements in the algorithms running on the processors. Well-known image classification competitions like
New Competition Aims to Spur Energy-efficient Computer Vision Innovation Read More +
This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Image and vision processing require a tremendous amount of processing power, not to mention a large amount of memory bandwidth. And when you consider the mobile and wearable devices that utilize these functions, it’s clear why low
Q&A: Drones, Robots, and the New Tensilica Imaging/Vision DSP Read More +
Amol Borkar, an engineer in the RealSense team at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Borkar demonstrates real-time 3D game scene generation and other applications that harness a tablet computer's front and rear RealSense camera subsystems.
Intel Demonstrations of Real-Time 3D Scene Creation and Other Vision Applications Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an
The PowerVR Imaging Framework for Android Read More +
Ken Lee, Founder and CEO of VanGogh Imaging, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Lee demonstrates real-time point cloud generation using a depth camera and the company's software.
VanGogh Imaging Demonstration of Real-Time Point Cloud Generation Read More +
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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