The value of a vision system

Yesterday I bought a machine vision camera for the project my buddy Gene and I are doing to build a (semi-)cheap little machine to inspect coffee beans. We need something called a global shutter camera because the beans will be in motion when we capture their images. In the past a camera like this would have cost in the $1000 range. Over the years they dropped to $300-$400. Yesterday, I paid $135 for this camera–quantity 1–and that included shipping. If this is coupled with a Raspberry Pi and OpenCV (~$200 with a power supply, heat sink, and other necessary stuff), it is possible to build a vision system that is faster (by a lot) and smarter (by a lot) than the vision systems we used to sell when I started at Intelledex in 1983 for $30k (~$74k in today’s dollars). The upshot is that it is now possible to do tasks for cheap that no one would have ever thought possible. There are large categories of machine vision problems that companies are accustomed to paying through the nose to solve. That is truly not necessary anymore if one is smart enough to put the pieces together. I hope we are smart enough.

About Dad

Married Christian man with two children, one in graduate school and one working. Oregonian (family arrived in 1846 along the Applegate Trail). Living and working from home in Washington state. Lived in North Carolina for seven years, Texas several times and South Florida amoung other places–kids graduated from NCSU, LOVE North Carolina and NCSU, Texas and South Florida). Judo Shodan. Graduate of Oregon State University (B.S. Business Administration, Marketing), Oregon Institute of Techonology (A.E. Computer Systems Engineering Technology), University of Texas at El Paso (M.S. Industrial Engineering). Computer Vision Research Consultant. Bilingual English/Spanish.

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