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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Machine Vision Course For Manufacturing Engineering Undergraduate Students, Jose Macedo, Kurt Colvin, Daniel Waldorf
Machine Vision Course For Manufacturing Engineering Undergraduate Students, Jose Macedo, Kurt Colvin, Daniel Waldorf
Industrial and Manufacturing Engineering
A 10-week course was designed with funding from the Society of Manufacturing Engineers (SME) and input from industry representatives, to offer upper division engineering students a course on advanced automation. The objective was to provide engineering students theoretical and hands-on practical experience with automation technologies that will be of prime importance over the next decade: data acquisition and instrumentation, machine vision and motion control. This paper describes the machine vision portion of that class. It describes important concepts, hands-on equipment, and labs developed for this course, as well as examples of student projects from Spring Quarter, 2004. The course and …
A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke
A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
In an attempt to incorporate basic visual attention abilities into existing artificial vision systems, a neural model of the bidirectional interactions within and between the brain regions believed to be involved in human visual attention has been developed. This model currently gives an artificial vision system the ability to attend to salient, or pop-out features and objects within the vision system''s field of view. After a review of the physiology of human visual attention, a network model of the aforementioned neural interactions is presented, followed by a demonstration of its performance.
Integrated Neural Network And Machine Vision Approach For Intelligent State Identification, Cihan H. Dagli, Timothy Andrew Bauer
Integrated Neural Network And Machine Vision Approach For Intelligent State Identification, Cihan H. Dagli, Timothy Andrew Bauer
Engineering Management and Systems Engineering Faculty Research & Creative Works
An interfacing of neural networks (NNs) and machine vision to provide the next state of a system given an image of the present state of the system is presented. This interfacing is applied to a loading operation. First, a NN is trained for part recognition under conditions of rotation, location, object distortion, and background noise given an image of the part. Then, a second NN, given the output of the first NN and an image of a pallet being loaded, is trained for optimal part loading onto the pallet under conditions of noise in the image. The paradigm used is …