Environment Adaptive Lighting Systems for Smart Homes

• Main Author: Cem Mehmet Catalbas
• Format: Article
• Language: English
• Published: Society of Polish Mechanical Engineers and Technicians 2017-09-01
• Series: Advances in Science and Technology Research Journal
• Subjects: image segmentation; lighting control; fuzzy systems; pattern clustering; smart homes
• Online Access: http://www.journalssystem.com/astrj/Environment-Adaptive-Lighting-Systems-for-Smart-Homes,76449,0,2.html

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.