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Video based Object Recognition for Conveyor Line Automation

Object Recognition

Language EnglishEnglish
Book Paperback
Book Video based Object Recognition for Conveyor Line Automation Ahmet Emre Gokus
Libristo code: 06946865
Publishers LAP Lambert Academic Publishing, November 2010
The aim of this book is to introduce a vision based object recognition system for automation of asse... Full description
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The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced.

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About the book

Full name Video based Object Recognition for Conveyor Line Automation
Language English
Binding Book - Paperback
Date of issue 2011
Number of pages 68
EAN 9783846592458
Libristo code 06946865
Weight 119
Dimensions 150 x 220 x 4
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