Abstract

This project explores the design and implementation of an Automated Street Lighting System using the Internet of Things (IoT). The system aims to enhance urban lighting efficiency, reduce energy consumption, and improve public safety by employing smart sensors and IoT technology. The system's primary components include motion sensors, ambient light sensors, and IoT controllers, enabling dynamic lighting adjustments based on real-time environmental data. The proposed system is designed to operate autonomously, detecting pedestrian and vehicular movement to activate streetlights only when needed. The project demonstrates significant energy savings and operational efficiency compared to traditional street lighting systems. By utilizing energy-efficient LED lights and integrating renewable energy sources, the system further reduces the carbon footprint, contributing to sustainability goals. This study illustrates the potential of IoT-enabled street lighting to transform urban environments, offering a scalable and cost-effective solution for modern cities striving for smarter, safer, and more sustainable infrastructure.