Impulsive Acoustic Event Detection involves identifying sudden and short-duration acoustic events, often characterized by a rapid increase in sound pressure. These events can include gunshots, explosions, or other impulsive noises. Detection systems typically use microphones or sensors to capture the acoustic signals, and algorithms analyze the signals to identify and trigger alerts for impulsive events.


Real-time Intrusion Detection and Impulsive Acoustic Event Classification with Fiber Optic Sensing and Deep Learning Technologies over Telecom Networks

We review various use cases of distributed-fiber-optic-sensing and machine-learning technologies that offer advantages to telecom fiber networks on existing fiber infrastructures. Byleveraging an edge-AI platform, perimeter intrusion detection and impulsive acoustic event classification can be performed locally on-the-fly, ensuring real-time detection with low latency.