A Framework for Live Situational Awareness in Stream-Based 5G Applications

The increasing integration of technology into public safety systems generates vast amounts of data that demand efficient, real-time analytics to provide actionable insights. However, managing such large-scale data streams poses significant challenges, mainly due to the limited computational resources of edge devices and the high processing requirements. This paper introduces the Stream AI Analytics for Live Situational Awareness (SAALSA) framework, a solution that leverages 5G connectivity, Internet of Things (IoT) devices, edge computing, and artificial intelligence (AI) to address these challenges. A first-responder use case highlights the framework’s ability to facilitate real-time data processing for public safety scenarios and improve decision-making and operational efficiency.