| dc.creator |
Coskunsu, S. |
|
| dc.creator |
Uncu, I. S. |
|
| dc.date |
2015-08-01T00:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:46:24Z |
|
| dc.date.available |
2021-12-03T11:46:24Z |
|
| dc.identifier |
a3e4161b-08b0-4f47-bb4f-fb0433d7002b |
|
| dc.identifier |
10.12693/aphyspola.128.b-471 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/a3e4161b-08b0-4f47-bb4f-fb0433d7002b/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/93871 |
|
| dc.description |
Nowadays, a great part of energy consumption belongs to lighting products. For this reason, lighting fixtures that consume less energy but perform more efficiently are manufactured. LEDs are the latest product of this development. LEDs have advantages over traditional lighting systems, such as being efficient, long lasting and environment friendly. Recently, with the development of technology, the image processing techniques are used in various fields. Image processing-based fault detection systems have become a frequently referenced solution in industrial automation systems due to the rapid analysis ability and high level of accuracy. Along with the use of cameras in the photometric measurements, it has become possible to make multiple measurements on the same photograph. In this study, control automation has been developed to determine the photometric properties in LED boards, used in the production of LED lighting fixtures. Improper LEDs are detected by checking colour and brightness of all LEDs on the LED board by means of a computer-controlled system. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
LED Board Error Detection Automation with Image Processing |
|
| dc.type |
info:eu-repo/semantics/article |
|