The rapid expansion of urban infrastructure has intensified the global demand for smarter energy management. Street lighting is vital for public safety, yet traditional systems are often inefficient, operating at full capacity regardless of environmental light or traffic density. This leads to massive energy wastage and high operational costs. To address these inefficiencies, this research presents an IoT-based Smart Street Light Control System designed to optimize power consumption through real-time adaptability.The proposed system utilizes a synergy of Light Dependent Resistors (LDR) and Passive Infrared (PIR) sensors, managed by a central microcontroller. The LDR monitors ambient light to automate the dusk-to-dawn transition, while PIR sensors detect the presence of pedestrians or vehicles. By employing a dynamic dimming mechanism, the system maintains a low-intensity standby mode during periods of inactivity and switches to full brightness only when motion is detected. This responsive approach not only minimizes electricity usage but also extends the operational lifespan of the hardware.Beyond local automation, the integration of Internet of Things (IoT) capabilities allows for remote monitoring and data collection. System performance, energy metrics, and hardware failures can be tracked via a centralized dashboard, significantly reducing the need for manual maintenance and physical inspections. Experimental observations suggest that this intelligent framework offers a scalable and cost-effective alternative to conventional lighting. Ultimately, the system provides a robust solution for Smart City Infrastructure, balancing the need for public security with the urgent requirement for environmental sustainability and energy conservation.
Adhav et al. (Fri,) studied this question.