IoT Core: Edge Intelligence for Public Surveillance
Through edge-based data analytics, public surveillance systems are enabled to locally and autonomously analyze video data and to trigger safety actions without violating data protection and privacy regulations. Through Fog-to-Fog communication low latencies from sensor data aggregation, to data analysis to actor control are achieved. Furthermore edge-based data processing allows for highest levels of autonomy, resilience and robustness. The demonstrator shows how trajectories and movements of vehicles in public environments can be monitored and counter actions be triggered upon detected anomalies.