Skylark Labs built an AI-powered aircraft tracking system for air stations, delivering real-time monitoring during takeoff, taxiing, and landing with automated classification and anomaly detection.
01Tracking Challenges at Air Stations.
Air stations require continuous, accurate aircraft tracking to maintain safety and operational tempo. Manual tracking during high-traffic periods increases the probability of ground incidents, while slow ground coordination delays takeoffs, landings, and maintenance cycles.
Legacy systems struggle to track diverse aircraft types across variable conditions. The human bottleneck in ground operations creates cascading delays that affect sortie readiness and mission planning. Modern defense operations demand automated, all-weather tracking capabilities that deliver consistent performance regardless of environmental conditions.
Automated aircraft tracking removes the human bottleneck from ground operations, giving air stations real-time situational awareness at every phase of flight.-- Dr. Amarjot Singh, CEO, Skylark Labs
02AI-Driven Aircraft Tracking.
High-resolution cameras paired with AI algorithms provide continuous, automated aircraft detection and classification across the airfield. The system identifies aircraft type and tracks position in real time, while Sentinel AI Cameras provide the visual intelligence foundation for comprehensive monitoring.
Automated flight logging records sortie times, taxi durations, and maintenance intervals without manual entry, and anomaly detection flags irregular taxi paths, runway incursions, and unexpected ground movements instantly.
Edge Processing: The Synapse AI Box processes video feeds directly at the airfield, enabling real-time classification without cloud latency. This ensures instant anomaly detection and alerts even in bandwidth-constrained military environments, while Kepler provides centralized command oversight across multiple air stations.Highlight
03Operational Impact.
Real-time tracking reduces ground collision and runway incursion risk, the two most critical safety concerns at active air stations. Automated logging eliminates manual data entry delays between sorties, resulting in measurably faster turnarounds.
The system reduces staffing needs and prevents errors that cause expensive delays, while performing consistently in fog, rain, dust, and low-visibility scenarios where human observers and legacy systems fail. Integration with Scout AI Towers extends perimeter coverage for comprehensive airfield security.
04Looking Ahead.
AI-powered aircraft tracking gives air stations continuous, automated visibility into every ground and flight operation. Skylark Labs' system replaces manual monitoring with real-time intelligence, enabling faster decisions and safer airfield management across the full spectrum of transportation and defense applications.
