This project proposes a Smart Street Lamp (SSL) system that leverages decentralized computing to enhance urban safety and energy efficiency. The SSL system features dynamic brightness adjustment, enabling adaptive illumination based on real-time conditions to optimize energy use while maintaining adequate lighting for pedestrians and motorists. It also includes autonomous alarm capabilities to detect and report issues such as light or camera faults, improving maintenance efficiency and system reliability. Experimental evaluations show that the SSL system can significantly reduce energy consumption without compromising safety standards. Its autonomous alarms ensure prompt identification and resolution of malfunctions, enhancing operational efficiency. This innovative SSL system exemplifies a smart city solution, contributing to safer, more sustainable urban environments through intelligent lighting and digital integration.