Electronic nose for odour identification

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 objecti...

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Main Author: Liu, TingTing.
Other Authors: Mao Kezhi
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49869
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-498692023-07-07T18:05:59Z Electronic nose for odour identification Liu, TingTing. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation 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). Bachelor of Engineering 2012-05-25T03:18:36Z 2012-05-25T03:18:36Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49869 en Nanyang Technological University 121 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Liu, TingTing.
Electronic nose for odour identification
description 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).
author2 Mao Kezhi
author_facet Mao Kezhi
Liu, TingTing.
format Final Year Project
author Liu, TingTing.
author_sort Liu, TingTing.
title Electronic nose for odour identification
title_short Electronic nose for odour identification
title_full Electronic nose for odour identification
title_fullStr Electronic nose for odour identification
title_full_unstemmed Electronic nose for odour identification
title_sort electronic nose for odour identification
publishDate 2012
url http://hdl.handle.net/10356/49869
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