Blog Posts

This blog post was originally published at Basler's website. It is reprinted here with the permission of Basler. Looking for a new pair of pants? Right now you're likely to go to a store or order a pair online in a standardized size, typically one of four variants ranging from S to XL. Low unit […]

The Embedded Vision Summit, our yearly conference on practical computer vision, is coming up next week and I’ve been reflecting on what’s happened in the last year.  I wanted to take a moment to jot down five key trends in visual computing that I think are going to have a big impact on industry and

This blog post was originally published at Imagination Technologies' website. It is reprinted here with the permission of Imagination Technologies. The Imagination PowerVR team are busily preparing for the Embedded Vision Summit 2017 (EVS), taking place from 1-3 May in Santa Clara. EVS is a great industry event for all those involved with vision and surrounding technologies. From

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