Airspace Intelligence in Real-Time

Engineered a mission-critical platform for real-time aerial tracking, spatial analytics, and safety alerts with sub-second latency.

<1.5s
Ingestion Latency (p95)
99.2%
Alert Accuracy
5000+
Concurrent Tracks

The Challenge

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.

Solution

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 Impact

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.

Key Challenges

1

Harmonizing heterogeneous ADS-B sources

2

Low-latency spatial joins at scale

3

Noise vs genuine risk event distinction

4

Predictive trajectories with incomplete data

5

Mission-critical UX responsiveness

6

Alert fidelity (minimize false positives)

Our Solutions

Ingestion & Normalization

Multi-source pipeline with canonicalization and duplicate suppression.

  • Stream + batch fallback modes
  • UTC normalization and coordinate rebasing
  • Message deduplication
  • Integrity checks and validation
Airspace Tracking System

Spatial Processing

PostGIS-powered analytics with Kalman filtering for track quality.

  • Point-in-polygon geofence checks
  • Distance calculations and proximity
  • Kalman filtering for position smoothing
  • Heading stabilization
Geofence Alerts System

Prediction & Risk Scoring

Trajectory extrapolation with multi-factor risk assessment.

  • Velocity vector extrapolation
  • Approach angle and closure rate analysis
  • Zone sensitivity weighting
  • Wind model integration
Track Prediction System

Alerting & Visualization

Real-time alerts with Unity 3D tactical view and web analytics.

  • Rule-based alert engine (intrusion, separation)
  • Multi-channel dispatch (WebSocket, webhook)
  • Unity 3D operational console
  • React dashboards for analytics
Unity 3D Visualization

System Architecture

Real-time streaming architecture with spatial analytics and immutable audit trail

Ingestion & Stream

Multi-source ADS-B adapters

Kafka / Redis Streams

Integrity & dedup filters

Message canonicalization

Processing

Track Manager (Kalman filtering)

Geofence Engine (PostGIS)

Alert Engine (rules, scoring)

Trajectory Predictor

Visualization

Unity 3D operational console

React web dashboards

WebSocket real-time updates

Historical replay interface

Data & Security

PostgreSQL + PostGIS (tracks, zones)

Time-series DB (metrics)

Object storage (raw feeds)

Immutable event ledger

Data Flow Architecture

Client Layer

User Interface

API Layer

Business Logic

Data Layer

Persistence

99.9% Uptime SLA
Sub-250ms API Latency
Horizontal Scalability

Measurable Outcomes

Ingestion Latency (p95)

Before
5.2s
After
<1.5s
71% reduction

Alert Accuracy

Before
84%
After
99.2%
15% increase

Concurrent Tracks

Before
500
After
5,000+
10x scale

False Positive Rate

Before
16%
After
<1%
94% reduction

Violations Prevented

Before
N/A
After
200+
Safety impact

System Availability

Before
97%
After
99.9%
Mission-critical

Technologies Used

PythonPostgreSQLPostGISKafkaUnity 3DReactWebSocketDockerKubernetesRedis

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