Hi Everyone. I'll be presenting today's session, and I'm looking forward to it! Feel free to post your questions prior to the session start, and I'll do my best to address them before or during the session. Also, if you want to do some warm-up prior to today's session, there are some excellent free resources on the Embedded Vision Alliance web site. I particularly recommend the Embedded Vision Academy area of the site, where you will find great technical articles and free downloads, such as the BDTI OpenCV Executable Demo Package and the BDTI Quick-Start OpenCV Kit. (All require free registration on the Embedded Vision Alliance web site.) The chat system doesn't seem to allow me to post URLs, so let me suggest that the easiest way to find the site is to do a Google search on "Embedded Vision Alliance."
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.