DTMES 2022 - Presentation

Raspberry Pi Camera based Smart Personalized Constant Luminaire System
Nebyu Yonas, Lecturer, AAiT

Abstract - Artificial lighting is responsible for a major portion of global power consumption and environmental pollution. Therefore, cutting energy consumption in artificial lighting is one of the major research targets of smart luminaire systems. This work presents a smart LED based luminaire system that keeps constant luminance level according to a pre-defined luminance target. The system comprises raspberry pi camera-based luminance sensor, raspberry pi board and Philips hue. The proposed work is designed for personalized luminaire consumption and has the capability of not only reducing energy consumptions but also boosting users’ light comfort and light quality experience. The designed system adapts to a predefined luminance level through a flexible dimming optimization technique. As a proof-of-concept the proposed work was implemented in ku leuven laboratory and results based on LS-100 Konica Minolta luminance meter reading showed that it has the ability to realize the predefined luminance level with an accuracy of more than 95%. The developed smart LED luminaire control prototype is suitable for human task and activity based light zone control applications for indoor lighting applications.

Nebyu Yonas Sutri obtained his B.Eng. and M.Sc. degrees in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS (UTP), Malaysia, in 2011 and 2014 respectively. He is currently a PhD candidate and serving as a lecturer in the School of Electrical and Computer Engineering (SECE), Addis Ababa Institute of Technology (AAiT), Addis Ababa University (AAU), since September 2014. His research interest areas include but not limited to low power readout interface circuit design techniques for CMOS-MEMS, Smart LED Luminaires, Analog system designs, Medical devices, Integrated Circuit Design and MEMS/NEMS device design and fabrication for sensing applications