Thanks for the real-world perspective, vimalkumarp. Having not used the kits, I wouldn't know from experience but it's good to know they are solid products. With a bigger, more established corporation behind them, it sounds like they'll get an even higher profile and have more opportunity to expand as a product range.
Elizabeth: Thanks for the post. I have used the Gecko processor based kits and they are really good. One more point is the documentation and support sytem which is excellent. Now that Energy Micro is acquired by Silicon Labs, we can expect many more amazing products.
Though I don't know for certain, I would guess others have followed suit, Chuck. It makes sense to distribute the intelligence of the control system. With each sensor, each machine bringing its own intelligence, the central control function will just be a matter of coordinating smart tools.
@Murray: Yes true indeed and if they have followed the steps laid by the initial mover, things would have been much more different. Not sure what the reason why they did not follow the steps but surely a big mistake indeed.
I agree. To keep analysis local to sensor with GPU (General Processing Unit) will help eliminate any lost data bytes during transmission. The Cortex CMSIS library is quite comprehensive and the template formats used for programming are quite intuitive.
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.