Engineered a mission-critical platform for real-time aerial tracking, spatial analytics, and safety alerts with sub-second latency.
Aviation and drone operations require real-time awareness of airspace activity with precise geofencing, proximity alerts, and track prediction. The challenge was building a system that could process multiple ADS-B feeds with sub-second latency while maintaining high alert fidelity.
The solution delivered an end-to-end platform combining multi-source ADS-B ingestion, PostGIS spatial analytics, Kalman filtering for track smoothing, Unity 3D visualization, and event-driven alerting—all architected for mission-critical reliability.
The platform achieves sub-1.5s ingestion-to-visualization latency, 99.2% alert accuracy, tracks 5000+ concurrent objects, and has prevented over 200 potential airspace violations.
Harmonizing heterogeneous ADS-B sources
Low-latency spatial joins at scale
Noise vs genuine risk event distinction
Predictive trajectories with incomplete data
Mission-critical UX responsiveness
Alert fidelity (minimize false positives)
Multi-source pipeline with canonicalization and duplicate suppression.
PostGIS-powered analytics with Kalman filtering for track quality.
Trajectory extrapolation with multi-factor risk assessment.
Real-time alerts with Unity 3D tactical view and web analytics.
Real-time streaming architecture with spatial analytics and immutable audit trail
Multi-source ADS-B adapters
Kafka / Redis Streams
Integrity & dedup filters
Message canonicalization
Track Manager (Kalman filtering)
Geofence Engine (PostGIS)
Alert Engine (rules, scoring)
Trajectory Predictor
Unity 3D operational console
React web dashboards
WebSocket real-time updates
Historical replay interface
PostgreSQL + PostGIS (tracks, zones)
Time-series DB (metrics)
Object storage (raw feeds)
Immutable event ledger
User Interface
Business Logic
Persistence
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