ABE 426
Applied Machine Vision

Credit: 3 hours.


The convergence of computer imaging, pattern recognition, and artificial intelligence have made it possible to quantify complex physical phenomena that commonly occur in food and agricultural systems. This course introduces students to basic principles required for machine vision applications. Hardware and software aspects for machine vision applications will be studied. Includes laboratory. Prerequisite: CS 101, MATH 225, or consent of instructor.