Emergency Vehicle Detection Using IoT in Smart Cities

This abstract explores the use of IoT and edge computing for real-time video analytics in emergency vehicle detection within smart cities. It investigates the integration of sensor networks, computer vision algorithms, and edge computing infrastructure. Key considerations include low latency, capability, accuracy, and resource optimization. By harnessing these technologies, smart cities can enhance emergency response systems, improving efficiency and safety.