Electronics nose for odour identification
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 Acq...
| Päätekijä: | |
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| Muut tekijät: | |
| Aineistotyyppi: | Final Year Project (FYP) |
| Kieli: | English |
| Julkaistu: |
2009
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| Aiheet: | |
| Linkit: | http://hdl.handle.net/10356/18056 |
| _version_ | 1826118213377720320 |
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| author | Lim, Wei Kok. |
| author2 | Mao Kezhi |
| author_facet | Mao Kezhi Lim, Wei Kok. |
| author_sort | Lim, Wei Kok. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:40:01Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/18056 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:40:01Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/180562023-07-07T16:08:55Z Electronics nose for odour identification Lim, Wei Kok. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics 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. Bachelor of Engineering 2009-06-19T03:44:22Z 2009-06-19T03:44:22Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18056 en Nanyang Technological University 71 p. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics Lim, Wei Kok. Electronics nose for odour identification |
| title | Electronics nose for odour identification |
| title_full | Electronics nose for odour identification |
| title_fullStr | Electronics nose for odour identification |
| title_full_unstemmed | Electronics nose for odour identification |
| title_short | Electronics nose for odour identification |
| title_sort | electronics nose for odour identification |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics |
| url | http://hdl.handle.net/10356/18056 |
| work_keys_str_mv | AT limweikok electronicsnoseforodouridentification |