Video anomaly detection for edge-based IoT systems: A survey of input modalities and real-time applications

Puntos clave

• Anomaly detection in video feeds is crucial for enhancing security in IoT systems, allowing for real-time responses.
• Key modalities include RGB cameras, thermal imaging, and infrared sensors to identify anomalies effectively.
• Observational analysis covers various applications, from smart cities monitoring to home security systems using edge computing.
• Implications include improved situational awareness and automation in critical areas, promoting faster decision-making.