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.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.