Scores:
10
MNiSW
92.2
ICV
 
 

Environment Adaptive Lighting Systems for Smart Homes

 
1
Fırat University, Electrical and Electronics Engineering Department, Elazığ, Turkey
Adv. Sci. Technol. Res. J. 2017; 11(3):172–178
Publish date: 2017-09-03
KEYWORDS:
TOPICS:
ABSTRACT:
In this work, an application of adaptive lighting system is proposed for smart homes. In this paper, it is suggested that, an intelligent lighting system with outdoor adaptation can be realized via a real fisheye image. During the implementation of the proposed method, the fuzzy c-means method, which is a commonly used data clustering method, has been used. The input image is divided into three different regions according to its brightness levels. Then, the RGB image is converted to CIE 1931 XYZ color space; and the obtained XYZ values are converted to x and y values. The parameters of x and y values are shown in CIE Chromaticity Diagram for different regions in the sky. Thereafter, the coordinate values are converted to Correlated Color Temperature by using two different formulas. Additionally, the conversion results are examined with respect to actual and estimated CCT values.
CORRESPONDING AUTHOR:
Cem Mehmet Catalbas   
Fırat University, Electrical and Electronics Engineering Department, 23100 Elazığ, Turkey