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Demo Scenarios

Key workflows and capabilities that can be demonstrated.

Scenario 1: Data Ingestion Flow​

Objective​

Demonstrate end-to-end data flow from drone mission to platform storage.

Flow​

  1. Mission completion in FlightHub 2
  2. API trigger to ingestion pipeline
  3. Multi-sensor data extraction
  4. Geospatial correlation
  5. Storage confirmation

Metrics Shown​

  • Ingestion latency
  • Data completeness
  • Storage organization

Scenario 2: Anomaly Detection Workflow​

Objective​

Demonstrate AI-powered detection with operator validation.

Flow​

  1. Image/thermal data input
  2. GroundingDINO detection
  3. SAM2 segmentation
  4. Confidence scoring
  5. Event creation
  6. Operator review interface

Metrics Shown​

  • Detection accuracy
  • Confidence distribution
  • Processing time

Scenario 3: Multi-Sensor Correlation​

Objective​

Demonstrate cross-sensor signal fusion.

Flow​

  1. Thermal anomaly detection
  2. Visual context correlation
  3. Geospatial asset linking
  4. Combined confidence scoring
  5. Prioritized alert generation

Metrics Shown​

  • Correlation improvement
  • False positive reduction
  • Context enrichment

Scenario 4: Alert and Escalation​

Objective​

Demonstrate alerting pipeline and escalation workflow.

Flow​

  1. High-priority event detection
  2. Alert generation
  3. Notification dispatch
  4. Operator acknowledgment
  5. Work order creation (SAP PM mock)

Metrics Shown​

  • Alert latency
  • Escalation routing
  • Integration patterns

Scenario 5: Dashboard Overview​

Objective​

Demonstrate RTIC dashboard capabilities.

Features​

  • Real-time event map
  • Historical trend analysis
  • Drill-down capabilities
  • Export functionality
  • Custom views

Metrics Shown​

  • Data freshness
  • Query performance
  • Visualization options