People interested in using vision--2D or 3D--also must understand the importance of choosing the proper lenses and of evaluation a variety of lighting options. It's easy to think about lighting in terms of gross illumination, but lighting choices also involve attenuating reflections, eliminating shadows, the proper use of color to highlight specific characteristics, and so on. In some cases, a 2D vision system can use shadows from directional lighting to determine heights as well as positions. Microscan has several helpful technical papers for people interested in lighting techniques: www.microscan.com/en-us/home.aspx.
Another good option to obtain 3D data would be using a 2D camera together with a framegrabber containing laser detection, like the ones provided by SiliconSoftware through their Visual Applets tool, or obtaining it by using a laser-camera system together with a 3D machine vision software.
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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