Video based Object Recognition for Conveyor Line Automation: Object Recognition - Softcover

Gokus, Ahmet Emre; Demirel, Hasan

Softcover

ISBN 10: 3846592455 ISBN 13: 9783846592458

Publisher: LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

About this title

About the Author

Ahmet Emre Gokus received his MSc Degree from the Department of Electrical and Electronic Engineering, Eastern Mediterranean University in 2008. Assoc. Prof. Dr. Hasan Demirel received his PhD degree from Imperial College London in 1998 and joined the Department of Electrical and Electronic Engineering, Eastern Mediterranean University in 2000.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• Language: English
• ISBN 10: 3846592455
• ISBN 13: 9783846592458
• Binding: Paperback
• Number of pages: 68