dc.contributor.author |
Sewwandi, R.U. |
|
dc.contributor.author |
Chamari, R.M.L. |
|
dc.contributor.author |
Liyanage, D.N. |
|
dc.date.accessioned |
2022-03-24T04:26:15Z |
|
dc.date.available |
2022-03-24T04:26:15Z |
|
dc.date.issued |
2022-01-19 |
|
dc.identifier.issn |
1391-8796 |
|
dc.identifier.uri |
http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/5592 |
|
dc.description.abstract |
Quality control is an essential and inevitable part of the production process. Defect detection in the sale-making tape is one of the most critical quality control measures in sail manufacturing. This study is based on a sale-making company in Sri Lanka which uses a manual defect detection method. It is mainly based on a visually inspecting work done by the machine operator while controlling the whole sail-making tape producing process. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Faculty of Science, University of Ruhuna, Matara, Sri Lanka |
en_US |
dc.subject |
Sail-making tape |
en_US |
dc.subject |
Web camera |
en_US |
dc.subject |
Black spot |
en_US |
dc.subject |
Raspberry pi |
en_US |
dc.subject |
Image processing |
en_US |
dc.title |
An automated defect identification and marking system for sail manufacturing industry using image processing technique |
en_US |
dc.type |
Article |
en_US |