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Use Case 40 · Public Sector & Smart City

Border Control Spatial Anomaly & Intrusion Tracking

Multi-sensor spatial intelligence combining satellite imagery, thermal camera feeds, and seismic sensors for real-time border perimeter surveillance.

Commander of Border Patrol Director of National Security Defense Operations Officer
Illustration: Border Control Spatial Anomaly & Intrusion Tracking

Customer need & pain point

The problem this replaces.

  • Border command centers are overwhelmed by thousands of raw video feeds, missing illegal perimeter crossings across terrain.

Step-by-step execution

How the engine executes it.

01

Mycelium Ingestion

Module 1 & 2

Ingest thermal imagery, drone feeds, and ground seismic telemetry mapped to H3 spatial grids.

02

Multi-LLM Routing

Module 1 & 2

Filter natural wildlife movements using spatial vision models to isolate unauthorized human and vehicle activity.

03

Multi-LLM Routing

Module 1 & 2

Compute optimal intercept vectors based on terrain elevation and patrol unit locations.

04

Agentic AI

Module 4

Push real-time target coordinates directly to mobile field patrol tactical displays.

Quantifiable ROI & impact

What changes commercially.

  • 85% reduction in false intrusion alarms
  • 3.5x faster tactical response time

The “aha” moment

“Our monitoring teams stopped watching static video feeds; Traffelo AI alerts us only when confirmed unauthorized movements cross border hexes.”
Chief of Border Security Operations (National Defense Force)