Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49869
Title: Electronic nose for odour identification
Authors: Liu, TingTing.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Issue Date: 2012
Abstract: Electronic Nose is developed to function like a real nose in daily lives where its basic principles come from the human olfactory (sensing) system. It is used as automated detection and classification of odours, vapours and gases through several complex technologies. The objective of this project is to identify two categories of smell which consists of four fruits and four spices. The whole system basically can be categorized into two main components, which are hardware system and software system. The hardware system can be categorized into sensing system, data acquisition. The software system can be categorized into classification and user interface.The sensing system is constructed based on an array of seven Figaro gas sensors. With the aid of LabVIEW, data acquisition program is developed, in capturing and collecting result from the signals generated by the sensors. The Probabilistic Neural Network has been adopted for the classification of various odours and a graphical user interface in displaying the identification of the odour. Both the classification process and the graphical user interface are developed by Excel and Macros (Visual Basic).
URI: http://hdl.handle.net/10356/49869
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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