Blog Posts

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. As the recent 4-to-1 drubbing of Go world champion Lee Sedol by Google's DeepMind AlphaGo program signifies, artificial intelligence has entered mainstream awareness. It's enabled by the evolution of traditional neural network approaches, the steadily […]

This blog post was originally published in the late March 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. It's no secret that sensors are proliferating. Our smartphones, for example, contain accelerometers, magnetometers, ambient light sensors, microphones – over a dozen distinct types of sensors. A modern automobile contains

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. I'm Brian Dipert, the Editor-in-Chief of the Embedded Vision Alliance, and I'd like to welcome you to this new blog published through a partnership between Vision Systems Design and the Embedded Vision Alliance. On a

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. For the first time in its history, the Mobile World Congress in Barcelona welcomed more than 100,000 visitors, most of them in suits. We visit quite a few shows, and one of the things that stands out

This blog post was originally published in the early February 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Today, billions of hours of video are collected each year, but most of it is never used, because we don't have a practical way to extract actionable information from it.

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Getting to CES turned out to be a bit of a problem for quite a few of us this year. Due to a string of storms, fog, and snow, dozens of flights were delayed or cancelled. We

Computer vision technology is complementing GPS sensors in addressing the quest to support autonomous flying features such as object tracking, environment sensing, and collision avoidance. However, 4K video (now a must-have feature for image capture) and other functions such as 3D depth map creation pose significant computational challenges for the high quality image- and video-processing

This blog post was originally published in the December 2015 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Since reading Malcolm Gladwell's Blink a decade ago, I've been intrigued by how the mind works – particularly how judgements and decisions are made. I've been inspired to take an armchair

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

Computer vision applications, unlike traditional image processing, employ a heterogeneous mix of algorithms with a great diversity of control flows and memory access patterns. Therefore, vision processors are naturally evolving towards complex architectures that include, besides the CPU and GPU-like arrays of processing units, dedicated hardware blocks that specialize on certain portions of computer vision