SED Centralized Server Solution: Docker-Containerized AI for Any RTSP Camera & Intercom Stream

How It Works: Centralized RTSP Audio Processing

In many enterprise facilities, replacing existing CCTV cameras with specialized AI hardware is cost-prohibitive. The Virtual SED Target engine solves this by virtualizing the acoustic detection pipeline:

1. RTSP Stream Configuration: Security cameras, building intercoms, and VoIP endpoints stream standard RTSP audio (e.g. rtsp://192.168.1.50:554/audio) over the local network.
2. Virtual SED Target Worker: The SED Server provisions an isolated, lightweight container worker for each camera stream. The worker continuously decodes PCM audio and runs deep neural network classification in real time (<5s latency).
3. Multi-Event Detection & Noise Adaptation: Automatically classifies Gunshots, Screams/Aggression, Glass Breakage, Drones, Angle Grinders, Vehicle Sirens, and Spraying while filtering out benign background ambient noise.
4. Unified Standard Alert Dispatch: Upon classification, the server immediately broadcasts rich event metadata, audio clips, and confidence scores across all connected security management platforms.

Supported Output Protocols & VMS Integration

Quick On-Premise Deployment (Docker Stack)