Blog Posts

This blog post was originally published in the late May 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Last summer, I wrote that the time was ripe for deployment of neural networks in mass-market applications. Last week, Google validated this point of view by announcing that is has […]

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In a column published two months ago, I discussed the compelling potential and increasingly proven reality of convolutional neural networks and other deep learning techniques for solving a variety of longstanding computer vision challenges. And

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Over the past several weeks, as regular readers may have noticed, I've mentioned the upcoming Embedded Vision Summit, managed by the Embedded Vision Alliance (for which I act as editor-in-chief). "Upcoming" is "now", actually; as

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. The enhancement of photographs and videos by means of digital computation, versus traditional "darkrooms," has typically required offline processing on a substantive standalone computer. Witness, for example, the longstanding popularity of multiple generations' worth of

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. There have been few technological movements in automotive that feel as revolutionary as the one we have in front of us today; Autonomous Driving. These days, it’s discussed far beyond the automotive industry – open any technology

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In last week's column, while discussing the use of embedded vision in ADAS (advanced driver assistance systems) and autonomous vehicles, I wrote: Supplemental sensor technologies such as radar or LIDAR (light detection and ranging) will

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In last week's column, I used two case studies, robotic vacuum cleaners and drones, to illustrate the perhaps surprising power consumption savings that can be obtained by adding computer vision capabilities to a system design.

This blog post was originally published in the mid-April 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. We've been hearing a lot about autonomous cars lately – and for good reasons. Driverless cars offer enormous opportunities for improved safety, convenience, and efficiency. Their proliferation may have as profound

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Conventional thinking might suggest that adding more hardware to a system design, or boosting the performance of the hardware, would cause the system to consume more power. While this cause-and-effect relationship pans out in many

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. The fully autonomous vehicle trials underway by established automobile companies such as Ford and GM, along with upstarts such as Baidu and Google (and, persistent rumors suggest, Apple) may capture the bulk of popular attention.