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Re: Example of Vision Processing Avaliable Upon Request
You certainly don't need a Core i5 to handle this processing. The trick is to write you code correctly. OpenCV implementations of certain algorithms are extremely efficient. If you do it right, this can all be done on an ARM processor getting about 20FPS.
Contours are simply the outlines of objects found in an image (generally binary). The size of these contours can be used to filter out noise, reflection, and other unwanted objects. They can also be approximated with a polygon which makes filtering targets easy. The "contourArea" of a target will have to be determined experimentally and you will want to find a range of acceptable values (i.e. the target area will be a function of distance).
OpenCV is very well documented, so look on their website for explanations of specific functions. You really need a deeper understanding of computer vision and OpenCV to write effective code; copy pasta won't get you too far, especially with embedded systems.
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