Crowd monitoring, incident detection, and emergency response for venues, transit hubs, and urban spaces.
Overcrowding at events and transit hubs creates safety hazards. Human monitoring cannot assess density across large areas in real-time.
Security incidents in public spaces go undetected for critical minutes. CCTV operators cannot monitor hundreds of feeds simultaneously.
After incidents, reviewing hours of footage across multiple cameras is slow and resource-intensive.
Real-time crowd counting and density heatmaps. Automatic alerts when occupancy thresholds are reached in specific zones.
AI identifies aggressive postures, running, fighting, and other behavioral indicators of escalating situations.
Detects unattended bags, packages, and objects in public areas. Triggers alerts with object location and video context.
Real-time crowd flow analysis during evacuations. Identifies bottlenecks and blocked exits to guide emergency response.
The system connects to any number of IP cameras across large areas. Edge processing means each camera feed is analyzed locally with sub-second latency, enabling city-scale deployment without bandwidth constraints.
Yes. The behavioral analysis engine identifies aggressive postures, rapid movements, running, and physical confrontations. It alerts security teams with real-time video clips before situations escalate.
The Argos Edge Box is portable and plug-and-play. It can be deployed for temporary events, connected to temporary camera installations, and operational within hours.
Contact us to plan your pilot program.