Intelligent Lighting Control System Using AI and IoT

As human society evolves, the demand for optimized and energy-efficient lighting solutions in buildings has intensified, driven by increasing energy consumption and the limitations of traditional systems in meeting the comfort and adaptability needs of modern users. This review study explores advanced intelligent lighting control systems suitable for indoor environments, highlighting the integration of Artificial Intelligence (AI) techniques with the Internet of Things (IoT) to enhance user comfort and reduce energy consumption. The systems discussed employ networks of connected motion and light sensors, interfaced through IoT platforms that enable real-time monitoring and adjustments based on room occupancy and natural lighting levels. Continuous data collection by these sensors facilitates dynamic illumination control, adapting to changing conditions throughout the day. Furthermore, intelligent system designs extend bulb life and minimize overall energy consumption by aligning lighting adjustments with user presence and daylight availability. Findings from existing studies and prototypes indicate that intelligent lighting systems not only enhance operational efficiency but also support sustainable energy practices. This review highlights the potential of intelligent lighting solutions for building resource-efficient and responsive building infrastructures, contributing to the broader goals of sustainability in modern architecture.