IoT Based Automatic Street Lighting System

The IoT-based automatic lighting system proposed in this paper solves the inefficiencies and problems of traditional urban lighting by using the Internet of Things (IoT) technology. This system has been designed to increase energy efficiency and provide good illumination by controlling the lighting according to the environment. Infrared sensors trigger the system to turn on the street lamp by detecting motion, while LDR sensors measure the ambient light to ensure that the light is on only in the dark. The application is validated with hardware integration and programming in Arduino IDE, demonstrating real-time sensor data, decision logic, and reliable control of the street lamp. The scheme demonstrates the feasibility and effectiveness of IoT applications in urban infrastructure, providing scalability and adaptability to the smart city scale for urban development. Keywords: Arduino, Automatic street lighting, IR Sensor, Motion detection, Ambient light detection, Energy efficiency, Smart city, Urban infrastructure.