Zol Bahri Razali, Gunasegaran Madasamy

Automated Mechanical Sorting Device for Mixed Household Wastes

Integration of Sorting Conveyor with Neural Network

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 80
• Erscheinungstermin: 30. Januar 2013
• Englisch
• Abmessung: 220mm x 150mm x 5mm
• Gewicht: 137g
• ISBN-13: 9783659335792
• ISBN-10: 3659335797
• Artikelnr.: 37157030

Autorenporträt

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