Having seen spectroscopy systems in the semiconductor industry in the 1980s, this seems like about as small a package as I can ever remember. Is this indeed smaller than the current state of the art? Has anyone else used a system on a chip approach like this one, Ann?
There's a large number of apps that could take advantage of this technology. Industrial machine vision and inspection of chips, boards and electronics sub-assemblies, R&D of several different kinds including component failure and analysis labs, medical labs of various kinds, and medical equipment manufacturing. It could possibly also be used in various kinds of materials detection, possibly in security apps, as well as for detecting counterfeit components made of inferior materials.
What I like most about this technology is the huge difference in size between other multispectral cameras I've written about in the past and the fact that this is a chip-level solution, even doing post-processing filters on-chip. I think the need for this technology will only continue to increase as design features keep getting smaller, and with the mixes of multiple material types.
Engineers at Fuel Cell Energy have found a way to take advantage of a side reaction, unique to their carbonate fuel cell that has nothing to do with energy production, as a potential, cost-effective solution to capturing carbon from fossil fuel power plants.
To get to a trillion sensors in the IoT that we all look forward to, there are many challenges to commercialization that still remain, including interoperability, the lack of standards, and the issue of security, to name a few.
This is part one of an article discussing the University of Washington’s nationally ranked FSAE electric car (eCar) and combustible car (cCar). Stay tuned for part two, tomorrow, which will discuss the four unique PCBs used in both the eCar and cCars.
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