Current Challenges for Airports and Vertiports:

• Drone Intrusions: Unauthorized or misidentified drones threaten airspace security and operational efficiency.

• Fragmented Infrastructure: Limited integration between airfield systems leads to siloed data, reducing operational awareness.

• Operational Risks: Ensuring safe interactions between autonomous ground vehicles, drones, and human-operated systems is complex and resource-intensive.

• Data Overload: Managing multiple data streams without a unified system results in delayed decision-making and inefficiencies.

Our platform solves these problems by leveraging advanced detection, classification, and integration technologies, designed specifically for airports and vertiports.

The Technology:

• Accurate Drone Detection and Classification: Uses existing radar and sensor infrastructure to identify, classify, and monitor drones with precision, minimizing the need for additional hardware investments.

• Full Situational Awareness: Aggregates data from multiple sources, including radar, cameras, IoT devices, and autonomous ground vehicles, into a single interface for real-time monitoring of all airfield operations.

• Safe Integration of Autonomous Vehicles: Ensures secure and efficient coordination between autonomous ground vehicles and other airfield systems to optimize operations and reduce risks.

• Modular Open System Architecture (MOSA): Seamlessly integrates with existing infrastructure and supports the addition of future technologies, ensuring scalability and adaptability.

• AI-Powered Insights: Employs machine learning models to enhance operational efficiency, predict risks, and optimize resource allocation.