Design and Build an IoT system for smart street lighting

Abstract

IoT systems can improve efficiency, enable new services, and enhance safety in various domains, including smart homes, healthcare, transportation, and industry[3,4,5]. For instance, in a smart home, IoT devices can automate lighting, heating, and security systems to optimize energy use and provide convenience to the residents. For our system, we limit the use of traditional sensors, instead the proposed system aims to optimize energy consumption, improve operational efficiency and contribute to develop a smart urban environment. Using data analysis and machine learning algorithms, we will dynamically adjust street lighting levels. The system uses real-time data, including usage history, weather conditions and time of day, to intelligently adjust the brightness of street lights. This not only eliminates the need for additional sensors, but also streamlines the implementation process, making it more cost-effective and adaptable to a wider range of urban environments.