Blog Posts

This blog post was originally published in the mid-April 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. GPS has proven to be an extraordinarily valuable and versatile technology. Originally developed for the military, today GPS is used in a vast and diverse range of applications. Millions of people […]

This blog post was originally published by the Association for Unmanned Vehicle Systems International. It is reprinted here with the permission of AUVSI. Autonomous devices are reliant on vision processing to enable them to safely move about their environments and meaningfully interact with objects around them. An industry alliance assists product creators in incorporating practical

This blog post was originally published in the mid-March 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. It's remarkable to see the range of applications in which deep neural networks are proving effective – often, significantly more effective than previously known techniques. From speech recognition to ranking web

Smartphones have pretty much eliminated the need for point-and-shoot pocket cameras. For a while now, they have even been threatening to replace professional rigs. As early as 2012, Time Magazine featured a cover shot snapped by an iPhone 4S, and recently a Sports Illustrated cover photo was shot with a Motorola Z and Billboard Magazine’s

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In his plenary session "Computer Vision 2.0: Where We Are and Where We're Going" at last May's Embedded Vision Summit, Embedded Vision Alliance founder Jeff Bier discussed the "virtuous circle of innovation," which he believes

This blog post was originally published in the mid-February 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. In recent months, evidence has continued to mount that artificial neural networks of the "deep learning" variety are significantly better than previous techniques at a diverse range of visual understanding tasks.

Demand for computer vision has never been stronger. Propelled by advances in deep learning, a staggering number of devices and applications utilizing vision and artificial intelligence (AI) have hit the market. While employing vision and deep learning in embedded systems poses a challenge, it is becoming a requirement. Here is a look at the variety

This blog post was originally published at ARM's website. It is reprinted here with the permission of ARM. In 2016 we saw Virtual Reality hit the headlines all over again with a brand new wave of devices, applications and improvements on previous incarnations. With devices now shipping across dozens of manufacturers, price points and levels,

This blog post was originally published in the late January 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. At this year’s Consumer Electronics Show, I walked many miles and saw countless demos. Several of these demos were memorable, but one in particular really got my mental gears turning:

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Conventional 2-D image sensors, found in the bulk of today's computer vision system designs, enable a tremendous breadth of vision capabilities. However, their inability to discern an object's distance from the sensor can make it