To date, the Embedded Vision Alliance sponsored and otherwise participated in plenty of "physical" events, such as last week's Embedded Vision Summit. It's also been involved in multiple webinars and other online events. But on the latter front, it hasn't yet tackled a Google+ Hangout…until later this month, that is.
On Tuesday, June 17 at 8:30AM Pacific Time (9:30AM MT, 10:30AM CT, 11:30AM ET, and 4:30PM UK), Alliance Member company ARM will host and moderate a Hangout-based discussion on the "Future of Computer Vision". Panelists include Alliance Founder Jeff Bier along with Alliance Member company Xilinx's Yvonne Lin (likely a familiar name to at least some of you from her past article contributions) and Dr. Shanti Swarup of Uurmi Systems. Here's the background description from the blog post announcing the event:
Computer vision has suddenly come to the forefront of technology innovation. We have seen all the Sci-Fi examples of robots that can see, but that futuristic era is upon us as HD cameras, high performance embedded computing, sensors fusion and image processing software algorithms have made it possible and economically feasible to create new applications that allow machines to see. Visual information is the richest source of information about the world around us. Therefore, there are many new applications of vision processing in industrial, automotive, medical, defense, retail, gaming, consumer electronics, security, and education, with many already becoming parts of our everyday lives.
To participate in the Hangout once it begins, you'll find a video link at ARM's Google+ page. If you have a Google account, you can RSVP at ARM's Google+ event page and receive a reminder before the Hangout. And, if you're not able to attend the Hangout as it happens, a recorded version of it will appear on the ARMflix YouTube channel later that day.
For more information, including detailed panelist and moderator biographies, please see the blog post announcing the event.
Followup: If you missed the "live" discussion panel, or if you'd like to re-view it, you can find an archive video here.
