Electronics nose for odour identification

• Main Author: Lim, Wei Kok.
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
• Online Access: http://hdl.handle.net/10356/18056
• Institution: Nanyang Technological University

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.