@wahaufler: Is it feasible/possible/easy/common to use iphone/android smartphones and tablets to prototype such embedded systems? Where the CPU power is not enough, interfacing with a separate external FPGA or somesuch device for the vision computations? Or is the data bandwidth too much for USB or Bluetooth? It is indeed increasingly feasible to use smartphones and tablets as embedded vision platforms. However, I am doubtful that it will be feasiable to add processing power beyond what is built in. The good news is that the application processors in these devices have lots of processors beyond the CPU. E.g., they all have GPUs, and GPUs can often be used as programmable coprocessors for vision.
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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