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.
The company says it anticipates high-definition video for home security and other uses will be the next mature technology integrated into the IoT domain, hence the introduction of its MatrixCam devkit.
Siemens and Georgia Institute of Technology are partnering to address limitations in the current additive manufacturing design-to-production chain in an applied research project as part of the federally backed America Makes program.
Most of the new 3D printers and 3D printing technologies in this crop are breaking some boundaries, whether it's build volume-per-dollar ratios, multimaterials printing techniques, or new materials types.
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