Great presentation. How far down can vision be scaled? Within range of high-end MCUs?
Excellent question. Jitendra Malik of U.C. Berkeley, a luminary in vision rseearch told me that people often overestimate the resolution required for vision algorithms. Some basic funtions, like face detection, can be performed with fairly low resolution. And if you don't have fast motion, you may be able to get by with a low frame rate, too. Low resolution X low frame rate = low data rate, and now we're getting into the realm of things that can be done on relatively low-end processors -- even MCUs in some cases. Check out the CMUcam as an example of this.
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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