Vineet, It just makes sense that embedded platforms would play a role in Next-Gen Designs. With chip-level integration and system-on-a-chip continuing to evolve, there is just a great opportunity to develop intelligent systems using these high performance building blocks and COTS solutions. Thanks.
Hi Vineet--interesting article and good focus on how much modular capability exists for embedded functionality. You didn't mention it so I thought I would add that the wireless M2M space is offering lots of embedded capability, including modules with wireless chipsets, and ARM processor, and loads of I/O. I touched on a few of these in a blog on a sister community to DesignNews called TheConnectingEdge.com:
Not every device needs a complete computer system, and it is always easier to implement function in software over complex hardware design. Embedded systems are here to stay. In fact, I just built a few products centered around microcontrollers. Although I could have done the same thing with a PC, having a standalone device offloads the work. I know a few engineers in the making, they say they have hardly faced embedded design in the college course path. It is a sad day.. This is why jobs are shipped out of the USA (and other places).
Because of the increasing ubiquity of wearable technology, it would be easy to think that design of wearable devices is routine and involves common design and engineering knowledge. Missed efforts in development will be remembered once the devices are used in the field
As governments, associations, and NGOs around the world seek to protect consumers, national and regional standards are becoming mandatory, challenging manufacturers and making testing and certification necessary for any product developed and brought to market.
Manufacturers of plastic parts recognize the potential of conformal cooling to reduce molding cycle times. Problem is, conformal molds require additive manufacturing (AM), and technologies in that space are still evolving. Costs also can be high, and beyond that, many manufacturing organizations lack the knowledge and expertise needed to apply and incorporate additive technologies into their operations.
Machine vision and video streaming systems are used for a variety of purposes, and each has applications for which it is best suited. This denotes that there are differences between them, and these differences can be categorized as the type of lenses used, the resolution of imaging elements, and the underlying software used to interpret the data.
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