Blog Posts

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

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Several digital data communication standards are currently being used in the car: CAN, FlexRay, MOST, and LVDS. Each electronic component in the car typically uses its own dedicated wiring, making this cabling complex. The resulting wiring harness

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. In September SoftBank bought ARM for $32B, 40% more than its listed stock price at the time. Why was SoftBank willing to pay so much more than the market thought the company was worth? There seems so

This blog post was originally published in the mid-December 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Earlier this week, Google announced the spin-off of its self-driving car project into a stand-alone business. Will Google become a major player in the automotive industry? Today, that idea seems far-fetched.