Abstract: World Journal of Artificial Intelligence and Robotics Research

Abstract:
This paper introduces the design and implementation of an IoT-based smart street lighting system to improve energy efficiency and facilitate sustainable urban development. The system utilizes sensors to sense ambient light and movement, allowing street lights to automatically turn ON in low-light conditions and OFF during daylight or inactivity. By maximizing energy efficiency and minimizing human intervention, this solution is part of the overall objective of smart city infrastructure. The method is cost-efficient, scalable, and consistent with the vision of engi neers as key drivers of sustainable national development.