Automated Mechanical Sorting Device for Mixed Household Wastes: Integration of Sorting Conveyor with Neural Network - Couverture souple

Razali, Zol Bahri; Madasamy, Gunasegaran

 
9783659335792: Automated Mechanical Sorting Device for Mixed Household Wastes: Integration of Sorting Conveyor with Neural Network
Couverture souple
ISBN 10 : 3659335797 ISBN 13 : 9783659335792
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This book is discussed a research on designing an integrated conveyor belt and vision system which is to develop an efficient automated mechanical sorting system for mixed household waste. The system is used especially to sort paper and plastics that are left uncollected from domestic waste due to lack of efficient and economical waste sorting mechanism. This project is designed to segregate plastic and paper waste which would be the pioneer step for recycling. An intelligent system is developed using computer vision to recognize parts with features on the sorting production line (conveyor belt). Different paper and plastic objects with various shapes and sizes are used for the experimentation process. The proposed algorithm was experimental verified using a fabricated prototype paper and plastic system. Experimental results validate the proposed algorithm and the detail methodology of the research is described. This project required a very good understanding in Image Processing and in Neural Network where the researchers integrated the Neural Network system to make this project to be intelligent. A good understanding in related vision software also is a strong requirement.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book is discussed a research on designing an integrated conveyor belt and vision system which is to develop an efficient automated mechanical sorting system for mixed household waste. The system is used especially to sort paper and plastics that are left uncollected from domestic waste due to lack of efficient and economical waste sorting mechanism. This project is designed to segregate plastic and paper waste which would be the pioneer step for recycling. An intelligent system is developed using computer vision to recognize parts with features on the sorting production line (conveyor belt). Different paper and plastic objects with various shapes and sizes are used for the experimentation process. The proposed algorithm was experimental verified using a fabricated prototype paper and plastic system. Experimental results validate the proposed algorithm and the detail methodology of the research is described. This project required a very good understanding in Image Processing and in Neural Network where the researchers integrated the Neural Network system to make this project to be intelligent. A good understanding in related vision software also is a strong requirement.

Biographie de l'auteur

The author is Senior Lecturer at Universiti Malaysia Perlis, MALAYSIA, with 22 years teaching experience in Mechanical Engineering and Engineering Education. Graduated PhD from The University of Western Australia. Research interest mainly in design of Automated Sorting Device and study on students’ behavior while performing engineering laboratory.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659335797
ISBN 13 
9783659335792
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
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