Color offers important information about product type and/or condition. It can be used to sort fruit, measure the concentration of chemicals, and verify part selection for automotive or electronic assembly. Color machine vision systems, or CMVS, rapidly, reliably, and automatically detect and measure color. This presentation will discuss what a CMVS can and cannot do, and when it makes business sense to replace human color vision with a CMVS. Attendees will gain an appreciation for the fundamental concepts supporting CMVS application; learn of the major components and processes that make up a CMVS; and examine successful CMVS case studies. With an understanding of the issues and operations of color machine vision, participants will be better prepared to select and successfully apply CMVS to their business operations.
- Understand when to replace human color vision with a color machine vision system
- Learn how to select, set up, and use color machine vision
- Review CMVS processing methods such as color statistics and classifiers
Ben Dawson is director of strategic development for DALSA IPD, overseeing algorithm and product development. A former research scientist at the Massachusetts Institute of Technology (M.I.T), he has authored more than 60 scientific and technical papers on the subject of human and machine vision. Dawson earned his MSEE and Ph.D. degrees from Stanford University.