FIELD DOSSIER//COMMERCIAL AVIATION & TRANSIT

Tracing Critical Security Incidents in < 15 Seconds Across 650 Airport Feeds

How a tier-1 international airport modernized terminal security operations with unified multi-camera spatial tracking across 650 legacy IP cameras without ripping out existing infrastructure.

< 15sJourney Mapping Time
650Legacy Cameras Integrated
3.2 hrsSaved per Investigation
0 PIIFacial Biometrics Stored
EXECUTIVE DEPLOYMENT BRIEF

Handling 32 million passengers annually, an international airport terminal struggled with long investigation delays when tracking lost minors or unauthorized passengers slipping into restricted zones. Security teams historically required up to 45 minutes of manual video playback across isolated camera feeds to reconstruct a route. Sentinel was connected to 650 existing RTSP streams. Using anonymized deep feature embeddings, Sentinel reduced journey reconstruction time to under 15 seconds while remaining 100% compliant with passenger privacy regulations.

01 // THE CHALLENGE

Fragmented Camera Feeds Blind to Passenger Mobility

Airport security operators faced a fragmented surveillance wall: 650 cameras installed over 15 years by different contractors (Hanwha, Axis, Bosch). When an incident occurred—such as a passenger walking through an open exit door in reverse—operators had to manually guess which camera the subject would appear on next.

In crowded terminals, target identity was lost within seconds due to severe crowd occlusions and lighting shifts between glass atriums and baggage corridors.

  • Average incident trace took 45 to 60 minutes of manual scrubbing
  • Ripping out 650 cameras was quoted at $3.2M with 18 months of disruption
  • Strict EU GDPR and passenger biometric regulations prohibited facial recognition databases
02 // THE SENTINEL ARCHITECTURE

Non-Invasive RTSP Ingestion with Anonymized Embeddings

Sentinel was deployed inside the airport’s private datacenter across two GPU edge clusters. The software ingested RTSP feeds directly from the existing Milestone VMS without any changes to network topology or camera hardware.

Instead of facial recognition, Sentinel generated anonymized spatial-temporal embeddings based on silhouette, clothing color histograms, and movement trajectories, completely bypassing PII privacy concerns.

  • Direct integration into Milestone XProtect Smart Client via webhooks
  • Persistent multi-camera re-ID across non-overlapping terminal gates
  • Real-time unattended baggage anomaly triggers
03 // OPERATIONAL IMPACT

Instant Chronological Route Generation and Rapid Incident Resolution

During live pilot operations, an alert was triggered when an unauthorized passenger slipped past a TSA exit door. Operators clicked on the initial detection and Sentinel mapped the subject’s exact multi-camera timeline across Gate 12, the duty-free lounge, and the lower transit tunnel in 12 seconds.

Ground security intercepted the individual before they reached boarding gates, avoiding a full terminal evacuation that would have cost airlines an estimated $1.8M in flight delays.

  • Incident journey reconstruction time reduced from 45 minutes to 12 seconds
  • Saved an estimated $1.8M by preventing a full terminal security dump
  • Immediate contract expansion to cover cargo bays and perimeter fencing

Ready to replicate these operational results?

Deploy a 30-day proof-of-concept on 10 to 50 of your existing camera streams in under 48 hours.

View 48-Hour Pilot