An Appliance of Energy Efficient Mechanism to Design Smart Systematic Street Light Controlling System using Internet of Things

In an era marked by rapid urbanization and the pursuit of energy-efficient solutions, the integration of Internet of Things (IoT) technologies has emerged as a transformative approach to enhance public infrastructure. This study delves into the development and implementation of a cutting-edge Smart Street Light System that leverages Light Dependent Resistor (LDR) sensors and Passive Infrared (PIR) sensors. The system's core objective is to dynamically regulate street lighting based on real-time environmental conditions and the presence of vehicular or pedestrian traffic. LDR sensors monitor ambient light levels to ensure optimal energy utilization, while PIR sensors detect motion, thereby illuminating the path of passersby and vehicles. This system offers a cost-effective, eco-friendly, and technologically advanced solution to address the pressing issues of energy conservation and enhanced public safety. This study investigates the behavior of an LED lighting system in response to varying sensor values, specifically 245, 278, and 365, within the context of an environmental monitoring application. Notably, the analysis reveals a consistent LED activation time of 2.0 seconds for these higher sensor values, which signify the least sensitivity. The research explores the technical intricacies, benefits, and practical implications of this IoT-based Smart Street Light System, highlighting its potential to redefine urban lighting infrastructure in the context of modern smart cities.