Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18056
Title: Electronics nose for odour identification
Authors: Lim, Wei Kok.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Issue Date: 2009
Abstract: The Electronic Nose comprises of a circuit with an array of 7 sensors and data processing software used to identify different kinds of fruits from their odours. The fruit to be identified is sensed by sensing system comprising of chemical gas sensors. The sensor readings are captured by a Data Acquisition (DAQ) card which undergoes Digital to Analog (DAC) conversion before it is sent to personal computer for data processing. LabVIEW is used for the capture of sensor readings while MatLab programming language and Probabilistic Neural Network is used to classify and identify the odor of the fruit. A user friendly GUI generated using MatLab will display the result. Electronic Nose is able to identify six different types of fruits namely: lemon, banana, orange, grapes, tomato and apple. With a learning and expandable database, the Electronic Nose will have little problems identifying more items.
URI: http://hdl.handle.net/10356/18056
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
2000Series0802.pdf
  Restricted Access
Appendix219.72 kBAdobe PDFView/Open
2600ProductInfo0105.pdf
  Restricted Access
appendix83.16 kBAdobe PDFView/Open
2610ProductInfo0205.pdf
  Restricted Access
appendix79.38 kBAdobe PDFView/Open
2611ProductInfo0205.pdf
  Restricted Access
appendix63.18 kBAdobe PDFView/Open
2620ProductInfo0105.pdf
  Restricted Access
appendix102.22 kBAdobe PDFView/Open
TGS2180.pdf
  Restricted Access
appendix76.19 kBAdobe PDFView/Open
Lim_Wei_Kok.pdf
  Restricted Access
1.79 MBAdobe PDFView/Open

Page view(s) 50

285
Updated on Oct 19, 2021

Download(s) 50

25
Updated on Oct 19, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.