This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell.
I'm Brian Dipert, the Editor-in-Chief of the Embedded Vision Alliance, and I'd like to welcome you to this new blog published through a partnership between Vision Systems Design and the Embedded Vision Alliance. On a weekly basis, I'll be posting news and analysis on the latest in deployable computer vision technologies, products and applications. I encourage you to be more than just a passive consumer of this blog; regardless of whether or not you agree with something I've said, for example, or if you've identified a trend which I've not yet discussed, I encourage you to let me know either in the public comments or via private email.
We've launched this blog because vision technology is now enabling an enormous range of new products that are more intelligent and responsive than before, and thus more valuable to users. Computer vision has traditionally required large, heavy, expensive, and power-draining computers and cameras. Thus, computer vision has long been restricted to academic research and low-volume applications, such as manufacturing inspection.
But today, thanks to the emergence of increasingly capable and cost-effective processors and image sensors, along with robust algorithms and tools, it's becoming practical to incorporate computer vision into a wide range of new applications. My organization, the Embedded Vision Alliance, uses the term "embedded vision" to refer to this growing use of practical computer vision technology in embedded systems, mobile devices, PCs, and the cloud.
As engineers strive to incorporate vision capabilities into systems, however, it has become clear that there is a lack of needed information and educational resources. While computer vision research has generated numerous textbooks and research papers, there is little information available to guide non-specialists in designing practical computer vision solutions, including the selection of chips, cameras, algorithms, tools, and programming languages.
This gap between theory and implementation drove Berkeley Design Technology, Inc. (BDTI) to found and lead the Embedded Vision Alliance beginning in 2011. The Alliance is currently comprised of more than 50 member companies, bringing together providers of technologies and services used in creating vision-enabled products.
First and foremost, the Alliance's mission is to provide product creators with practical education, information, and insights to help them incorporate vision capabilities into new and existing products. To execute this mission, the Alliance maintains a website providing tutorial articles, videos and a discussion forum staffed by technology experts. Registered website users can also receive the Alliance's twice-monthly email newsletter, Embedded Vision Insights.
The Alliance also holds Embedded Vision Summit conferences. Embedded Vision Summits are educational forums for product creators and business decision-makers interested in incorporating visual intelligence into electronic systems and software. They provide how-to presentations, business case studies, inspiring keynote talks, demonstrations, and opportunities to interact with experts from Alliance member companies and peers. The next Embedded Vision Summit will take place on May 2-4, 2016 in Santa Clara, California. Please reserve a spot on your calendar and plan to attend. Online registration and additional Embedded Vision Summit information are available on the Alliance website.
That's it for this week! Stay tuned for my next post, and let me know your thoughts.
Editor-in-Chief, Embedded Vision Alliance