Autonomous airport protection against drones (EAGLE.ONE)

Client NameStandard airport operator

Client CountryCzech Republic

  • Client typePublic sector
  • IndustryTransportation, Mobility & Logistics
  • Application areasFacility & Asset Management, IT, Cybersecurity & Data Infrastructure, Operations & Process Automation
  • AI technologiesComputer vision and video analysis, Edge AI / Embedded Systems, Forecasting & Time Series Analysis, Robotics & Control Systems
  • Business impactsOperational Efficiency & Cost Savings, Risk Reduction & Compliance
  • Data typesGeospatial Data, Sensor / IoT Data, Time Series, Video Data
  • Delivery modelsCustom Development, Product / Licensed Software, Service / Subscription
  • DeploymentsEdge or Embedded
  • Key capabilitiesAutonomous Control & Robotics, Recognition, Classification & Tracking
  • Project stagesScaling / Expanded Implementation
  • Solution formsAnalysis, Recommendation, or Report, API / Micro-service Interface, Integrated Edge / On-device Solution

Solution Description

Problem description

Airports face incidents with unauthorized drones that threaten flight safety and reputation. Disruption or shooting down carries the risk of the drone falling and damaging people or property. A solution is needed that reliably detects, tracks, and non-destructively neutralizes targets within the protective perimeter while meeting strict regulations.

Solution

EAGLE.ONE is an autonomous “drone hunter” with onboard AI for detection, trajectory prediction, and safe capture of intruders into a net. The system operates as an edge robot, integrates with existing detection infrastructure, and enables repeated interceptions. It minimizes the risk of debris falling or explosions in sensitive zones.

Main Users of the Solution

Airport security dispatch, surveillance system operators, intervention commander.

Project timeframe (months)

6-12

Technologies used

Edge AI, computer vision, trajectory planning, multi-robot navigation, simulated training.

Additional services

  • Audit / feasibility study
  • Compliance/regulatory support
  • Providing MLOps infrastructure

Implementation

Project Owner on the Client's Side

Head of functional/operational unit

Participation on the Client's Side

  • Business / Product Owner
  • Domain / process experts
  • Software & Data Engineering / IT Ops
  • Project and change management
  • End users

Form of Supplier Involvement

Joint implementation with the client

Operation and Maintenance

Operational Model

Jointly – internal team + EAGLE.ONE (service, upgrade).

Needed Competencies on the Client's Side

Security systems operator, IT/OT administrator.

Other Resources or Infrastructure

Docking station, RF communication, UAS detection integration.

Impact and Results

Qualitative Benefits

Non-destructive threat neutralization, increased safety, fewer outages, regulatory compliance.

Lessons Learned and Recommendations

Key Success Factors

Integration with detection layer, testing, training.

Biggest Challenges

Regulation, interoperability, weather.

Recommendation for Others

Start PoC, measure KPIs, compare with alternative methods.

Promotion

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