An automated defect identification and marking system for sail manufacturing industry using image processing technique

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