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Wyświetlanie 1-2 z 2
Tytuł:
LED Board Error Detection Automation with Image Processing
Autorzy:
Üncü, İ.
Coşkunsu, S.
Powiązania:
https://bibliotekanauki.pl/articles/1402520.pdf
Data publikacji:
2015-08
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
85.60.Jb
88.05.Tg
Opis:
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.
Źródło:
Acta Physica Polonica A; 2015, 128, 2B; B-471-B-473
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stable Light Level Detection in the Light Pools Using Neural Network Algorithms
Autorzy:
Üncü, İ.
Arisoy, A.
Büyükarikan, B.
Powiązania:
https://bibliotekanauki.pl/articles/1402523.pdf
Data publikacji:
2015-08
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
88.05.Tg
07.05.Mh
Opis:
One of the requirements in machine vision applications is that the light source and the environment are selected correctly. If the analyzed object is not properly illuminated, it is inadequate for obtaining the desired result using the captured images. A correct lighting luminaire allows to distinguish the examined object from the environment it interacts with and ensures that its attributes are obtained correctly. In this study an intelligent dynamic lighting system for illumination of a closed area has been developed. The tested luminaire has three arms. Accelerometer readings are used for positioning and orientation. Using the developed system, the positions of the armature can be estimated by bipolar sigmoid technique, according to the point the user wants to illuminate. The system measures the light level with 72 LDR, calibrated with a luxmetre.
Źródło:
Acta Physica Polonica A; 2015, 128, 2B; B-474-B-476
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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