Blog Posts

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 […]

This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. We’re not yet riding in driverless cars, yet today’s vehicles are doing more for us than perhaps Henry Ford could have imagined. From pedestrian detection to driver monitoring, parking assistance and infotainment systems, these features are making

This blog post was originally published at Auviz Systems' website. It is reprinted here with the permission of Auviz Systems. Since I spend my summers in New England, I often look for ways to tap into the technology community there. We have been doing a lot of work at Auviz on Deep Learning and are

This blog post was originally published at Auviz Systems' website. It is reprinted here with the permission of Auviz Systems. I recently had a chance to spend a day with dozens of my favorite fellow embedded vision geeks. Once a quarter, the Embedded Vision Alliance holds a member meeting, where we spend the day networking

This blog post was originally published in the September 2015 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. "The economy, stupid" was one of the phrases that strategist James Carville hung on a sign in Bill Clinton's 1992 presidential campaign headquarters – a reminder to focus on what's most

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. The trade media is abuzz with speculations that the iPhone 7 is going to incorporate 3D vision using dual rear-facing cameras and add depth-sensing capability for mapping out 3D environments and tracking body movements and facial expressions.

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. The title of this blog post is one of the takeaways from the Image Sensor Auto conference that I reported on last month. There is no doubt cars will simply become robots that take us places, but

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. With an estimated 2020 market of $60bn and a CAGR of almost 23% between now and then, ADAS is becoming the new sweetheart of the automotive industry, driving most of the innovation within this enormous ecosystem. No

This blog post was originally published in the July 2015 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Lately, neural network algorithms have been gaining prominence in computer vision and other fields where there's a need to extract insights based on ambiguous data. As I wrote last year, classical

A broom and dust pan have served mankind well for thousands of years. Using a fairly simple, back-and-forth sweeping motion learned in childhood, millions of people have effectively cleaned their floors of dirt and debris. But what if you are physically not able (or simply unwilling) to sweep the floor? One goal of computer vision-enabled