dc.contributor.author |
Kakooza, Geofrey |
|
dc.date.accessioned |
2022-05-13T09:32:54Z |
|
dc.date.available |
2022-05-13T09:32:54Z |
|
dc.date.issued |
2017 |
|
dc.identifier.citation |
Kakooza, Geofrey. (2017). An android application for automatic detection of yarn defects using android studio. Busitema University. Unpublished dissertation. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/20.500.12283/1120 |
|
dc.description |
Busitema University. |
en_US |
dc.description.abstract |
The developed application was expected to be acceptable because of its accuracy, much lower cost, mobility and user friendliness. The application is equally useful for coloured yarns with change of background. The system was used to furnish diameter variation excluding hairs as irregularity measure. But the capacitive tester included mass of hairs in irregularity measurement. Hence, it showed a better representation of unevenness.
It also provided a tester free of electromagnetic interference and radio frequency interference and it was of a much lower price than its commercial counterpart as someone can just share it to you. |
en_US |
dc.description.sponsorship |
Dr. Nibikora Ildephonse,
Mr. Ka Edde Allan,
Busitema University. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Busitema University. |
en_US |
dc.subject |
Android application |
en_US |
dc.subject |
Automatic detection |
en_US |
dc.subject |
Yarn defects |
en_US |
dc.subject |
Android studio |
en_US |
dc.title |
An android application for automatic detection of yarn defects using android studio. |
en_US |
dc.type |
Thesis |
en_US |