Sensor Fusion Based Plastic Bottles Classification System : Machine vision, signal processing and artificial intelligence techniques

Yahia Tachwali

ISBN 10: 3639149246 / ISBN 13: 9783639149241

Published by VDM Verlag Dr. Müller, 2009

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Plastic bottles are increasingly becoming a seriousenvironmental problem. They are a major part of themunicipal waste due to their low density to volumeratio and non-biodegradable nature. Therefore,intensive research efforts have been made to providesolutions to improve the efficiency of plasticbottles recycling techniques. However, many of thesesolutions focus on the plastic chemical compositionor color classification. This book presents the design and implementation ofan automatic plastic bottles classification systembased on the combination of color and chemicalproperty. The system has hardware and softwarearchitectures. The hardware architecture consists ofa computing device, a CCD camera and an NIRspectrometer. The software architecture is developedbased on statistical classifiers and sensor fusiontechniques. The proposed system testing showed majorenhancements in plastic bottles sorting accuracybased on the fusion of camera images and the spectrumsignature of plastic bottles.This study should shed some light on a newclassification system solution and should beespecially useful to professionals in plasticrecycling and environment protection industry.

Seller Inventory # 9783639149241

Bibliographic Details

• Title: Sensor Fusion Based Plastic Bottles Classification System : Machine vision, signal processing and artificial intelligence techniques
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639149246
• ISBN 13: 9783639149241
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 22W x 15H x 1D centimeters 22 centimeters width by 15 centimeters height by 1 centimeters depth
• Weight: 267 grams

About this title

Synopsis

Plastic bottles are increasingly becoming a serious environmental problem. They are a major part of the municipal waste due to their low density to volume ratio and non-biodegradable nature. Therefore, intensive research efforts have been made to provide solutions to improve the efficiency of plastic bottles recycling techniques. However, many of these solutions focus on the plastic chemical composition or color classification. This book presents the design and implementation of an automatic plastic bottles classification system based on the combination of color and chemical property. The system has hardware and software architectures. The hardware architecture consists of a computing device, a CCD camera and an NIR spectrometer. The software architecture is developed based on statistical classifiers and sensor fusion techniques. The proposed system testing showed major enhancements in plastic bottles sorting accuracy based on the fusion of camera images and the spectrum signature of plastic bottles. This study should shed some light on a new classification system solution and should be especially useful to professionals in plastic recycling and environment protection industry.

About the Author

Y. Tachwali, Ph.D, Oklahoma Univ., Area of interest: DSP, Wireless Embedded Systems. A. R. Al-Ali, Ph.D, Vanderbilt Univ., Prof. of Computer Eng., American Univ. of Sharjah. Area of interest: Embedded Systems. Y. Al-Assaf, Ph.D, Oxford Univ., Prof. of Electrical Eng., American Univ. of Sharjah. Area of interest: Adaptive Control & Soft Computing.