In this presentation, we explore a practical approach to integrating AI capabilities into existing LoRaWAN systems. Our architectural framework spans from AI-enabled sensors (vision, sound) to edge computing platforms with varying computational capacities, demonstrating how AI can serve as a modular add-on to enhance current deployments.
We'll present a series of reference designs that enable both hardware and software developers to easily customize and implement their own AI-enhanced LoRaWAN solutions.