Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/3820
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dc.contributor.authorMaheswaran a/l Degarajan-
dc.date.accessioned2008-12-31T13:23:18Z-
dc.date.available2008-12-31T13:23:18Z-
dc.date.issued2008-03-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/3820-
dc.description.abstractThe project is intended to reduce a major portion of unrecyclable materials especially paper and plastics are left uncollected from domestic wastes due to lack of efficient and economical waste sorting mechanism. This project is designed to segregate plastic and papers which would be the pioneering step for recycling. LDR sensor has been used to detect opaque or non-opaque objects. Webcam is used to capture the image of the object. Images captured by the webcam are processed to recognize the object. Different object with various shapes and size are used for experimentation process. Output from both LDR sensor and camera will be used to rotate the bin to its respective position to recover the object. The developed vision system is trained and tested in a controlled lighting environment. Experimental results validate the effectiveness of the developed system.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.subjectConveyor Systemen_US
dc.subjectSorting systemen_US
dc.subjectPlastic wasteen_US
dc.subjectWaste material sortingen_US
dc.subjectPlastic segregateen_US
dc.titleDesign and development of an intelligent paper, plastic and bottle segregation (Prototype) systemen_US
dc.typeLearning Objecten_US
dc.contributor.advisorHema C.R. (Advisor)en_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
Appears in Collections:School of Mechatronic Engineering (FYP)

Files in This Item:
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References and appendix.pdf888.78 kBAdobe PDFView/Open
Conclusion.pdf110.02 kBAdobe PDFView/Open
Results and discussion.pdf476.19 kBAdobe PDFView/Open
Methodology.pdf1.19 MBAdobe PDFView/Open
Literature review.pdf357.17 kBAdobe PDFView/Open
Introduction.pdf109.21 kBAdobe PDFView/Open
Abstract, Acknowledgement.pdf151.01 kBAdobe PDFView/Open


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