Advanced Detect and Avoid and cUAS for the Future of Unmanned Aviation
DroneFusion NEXUS is a cutting-edge software solution that revolutionizes drone operations with comprehensive automatic Detect and Avoid (DAA), Counter-UAS capabilities, and Unmanned Traffic Management (UTM) integration.
Request a DemoCore Features
Detect and Avoid (DAA) System
- FAA Enforced Standard (ACAS Xu, ACAS Xsu)
- Multi-level alerting: Preventive, Corrective, Warning
- Automated resolution advisories
- Configurable safety thresholds
- Well Clear violation detection
Multi-Sensor Target Detection
- ADS-B Integration with ICAO tracking
- Harrier & Echodyne Radar support
- 3D radar volume scanning
- MAVLink, Piccolo telemetry for ownship/targets
- Simulation Engine for scenario testing
Counter-UAS (C-UAS) Capabilities
- Unauthorized drone detection
- Multi-sensor fusion
- Real-time threat assessment
- Geofence violation detection
- Airspace security with audit trail
3D Visualization & Mapping
- Cesium-powered 3D globe
- Real-time target rendering
- Well Clear cylinder visualization
- Layer management (TFRs, NOTAMs, Weather)
- Flight instruments overlay
Unmanned Traffic Management (UTM)
- ASTM F3548-21 compliant
- Operational Intent management
- Strategic & tactical deconfliction
- Remote ID compliance
- USS service provider integration
Tactical Integration & Monitoring
- WinTAK / ATAK Integration (CoT)
- Lost-link detection with alerts
- System health dashboard
- Geofencing & airspace management
- Comprehensive reporting & analytics
AI-Powered Threat Detection
Rule-based systems ("alert if object flies under 500 ft near a stadium") are brittle. AI, particularly machine learning models, excels at finding complex patterns in the track data your system provides.
Drone Swarms
Analyzes spatial and temporal coordination between multiple tracks. Are 10 small objects flying in a grid pattern, maintaining precise distances? Are their velocities synchronized? Rule-based systems see 10 objects; AI recognizes the emergent "swarm" behavior.
Anomalous Flight Paths
Learns normal traffic patterns for an area (e.g., approach paths to an airport, typical helicopter corridors). Flags tracks that deviate significantly—not just by location, but by velocity profiles, acceleration, or intent (e.g., a track loitering over critical infrastructure).
Non-Cooperative "Ghost" Tracks
Correlates tracks from disparate, low-confidence sensors (e.g., an acoustic sensor hint and a faint radar return) that a rule-based system might discard. AI can assess the probability they represent a single, elusive target.
Deception & Spoofing
Detects inconsistencies that indicate spoofing. For example, an ADS-B signal reporting a legitimate airline flight, but the primary radar return shows a different size/speed, or the track's behavior doesn't match a commercial flight profile.
AI Pattern Recognition in Action
Use Cases
Commercial Drone Ops
Package delivery, infrastructure inspection, agriculture, emergency response
Enterprise & Government
Airport security, infrastructure protection, law enforcement, military ranges
Research & Development
DAA testing, sensor fusion, UTM concepts, autonomous flight research
Pilot Training
DAA procedures, emergency simulation, airspace awareness, compliance training
Key Benefits
Safety First
Proven NASA algorithms, multi-sensor redundancy, millisecond response times
Regulatory Compliance
FAA Part 107/135 support, Remote ID, UTM compatibility, audit-ready logs
Operational Efficiency
Reduced pilot workload, streamlined planning, multi-vehicle management
Scalability & Integration
Cloud-ready, API-first design, concurrent operations, extensible plugins
Experience the Future of Unmanned Aviation
Subscribe today and elevate your drone operations with DroneFusion NEXUS.
- Advanced Detect and Avoid protection
- Counter-UAS security capabilities
- Seamless UTM integration
- Real-time 3D visualization
- Multi-sensor target detection
- Comprehensive reporting and analytics