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Machine Vision Applications Within A Manufacturing Engineering Technology Program
Author(s) -
Andrew Otieno
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--10723
Subject(s) - automation , computer science , microprocessor , machine vision , session (web analytics) , manufacturing engineering , software , software engineering , robot , robotics , engineering management , artificial intelligence , embedded system , engineering , operating system , world wide web , mechanical engineering
The implementation and usage of industrial automation is undergoing major and rapid changes. This change is driven by the need for industry both remain competitive in their cost structure and to increase the levels of quality and consistency in the products that are produced. Today, companies can implement automation at a reasonable price, through advances in sensor technology, networking capabilities, microprocessor design, open architecture for machine controls, Internet applications in machine control, and standardized software. During the past few years, the acquisition cost of vision inspection systems has dropped to levels that permit most companies to purchase and implement the systems. In addition, with the advent of faster computer processors, the vision system is software controlled, and thus the applications are increased. Vision systems provide means by which continuous and total autonomous inspection can be achieved during production. Today's vision systems can easily control guidance of automated manufacturing support components such as robots, as well as interface to sensors and output to auxiliary devices. The Department of Technology at Northern Illinois University has recognized these needs and challenges and has responded by strengthening its curriculum and adding new relevant areas in its automation courses such as machine vision. Within our automation course, basics principles of vision are covered, including camera systems, basic optics, lighting, and image capturing and processing. A key component in this section of the automation course is the hands on experience in which student teams use and apply the vision systems components and software in an automation cell. In addition, the students are taught the principles of vision integration with other control devices, such as PLC’s and robotics. From this level of automation instruction, the department has generated much interest in the students, as well as much industrial collaboration with companies in the Northern Illinois region.

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