Much of the technical characteristics of sensors and video processing are related to the peculiarities of human vision: tri-stimulus response ratios; gamma correction, color gamut spaces, frame rates, etc. Obviously, sensor manufacturers cater to the "human use" market. Why not go back to square 1 and design the sensor system optomized for machine vision? For example, if speed (frame rate) is necessary for a fast production line, maybe one doesn't need to bother with high resolution or color. Anyone out there using such an approach?
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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