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Brief Proposal for UTHM Master Project (Scholarship)
Indentification and Classification of Waste Material Using Near-Infrared (NIR) Spectroscopic Methods
Muhammad Aiyub,S.T (B.Eng)[email protected]
Supervisor: Dr. Mohamad Hairol Bin JabbarUniversity Tun Hussein Onn MalaysiaJabatan Kejuruteraan Komputer - Fakulti Kejuruteraan Elektrik dan Elektronik
ABSTRACT
Waste, especially household and commercial waste, is a heterogeneous mixture of different kinds of materials. Waste is currently classified in terms of the Minimum Requirements for the Handling, Classification and Disposal of Hazardous Waste. In this proposal we focused on classification of waste materials such as aluminum can, paper, glass, etc. Image processing will be applied for waste level verification based on several researchers working in various applications in image processing. In this work, we investigate the potential offered by using information outside of the visible spectrum, specifically near-infrared (NIR) images. Several studies have shown that near infrared (NIR) spectroscopy is capable to meet the aforementioned sorting requirements for material classifiaction. Infrared spectroscopy is one of the most important and widely used analytical techniques available to scientists working in a whole range of fields. There are a number of texts on the subject available, ranging from instrumentation to specific applications.
Keys: Waste Material, Images Processing, Near-InfraRed,spectroscopy.
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