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.
In many engineering workplaces, there’s a generational conflict between recent engineering graduates and older, more experienced engineers. However, a recent study published in the psychology journal Cognition suggests that both may have something to learn from another group: 4 year olds.
Conventional wisdom holds that MIT, Cal Tech, and Stanford are three of the country’s best undergraduate engineering schools. Unfortunately, when conventional wisdom visits the topic of best engineering schools, it too often leaves out some of the most distinguished programs that don’t happen to offer PhD-level degrees.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.