June 15, 2019
June 15, 2019
October 19, 2019
Computer vision technology is gaining importance for a variety of applications ranging from sensing, inspection, quality control to automation applications with the advent of industry 4.0 and manufacturing 4.0. Generally, computer vision or related courses such as image processing courses have been offered at the graduate level in Engineering or computer Science or Engineering Technology programs. Thus, there was a need for developing an undergraduate level course in applied computer vision domain in the electrical and computer engineering technology students. This paper will describe the design of the course with the associated hands-on laboratory components. The key topics for the lecture of the course will be presented. The associated learning outcomes and the adopted active learning techniques will be elaborated. The design of different hands-on laboratory exercises involving computer programming, MATLAB-based image processing toolbox, and open source image processing software “Image J” will be discussed. Moreover, the incorporation of team-based mini-project and class project in the class will be presented. The overall experiences in offering the course as an experimental course for four time will be presented.
Panigrahi, S. (2019, June), Development of an Undergraduate Course, "Applied Computer Vision," in an Electrical Engineering Technology Program Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32653
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