DroneCore by Horizonte — AI-fused Counter-UAS detection & tracking platform.
DroneCore is a service-oriented, AI-driven drone detection and tracking application that fuses radar, RF/Remote ID, EO/IR and acoustic sensor feeds into a single, real-time Counter-UAS operational picture. Its modular, microservice-based design delivers correlated track data, classification confidence and alerting for rapid, accurate airspace decision-making.
Core functionality.
Feature- and decision-level fusion across all connected sensor feeds.
Drone vs. bird vs. clutter, including swarm detection.
Airspace incursion, proximity and no-fly zone breach warnings.
Radar, RF / Remote ID, EO/IR camera, acoustic and further sensor types.
- Track playback & replay
- Statistics & reporting
- External web services (REST/JSON)
- DroneCore AI confidence scoring
- EO/IR camera cueing with object recognition
- Text-to-voice and visual alarm announcements
DroneCore Fusion Engine (DFE).
A next-generation AI/ML sensor fusion engine using feature-level and decision-level fusion for robust multi-sensor correlation and low false-alarm classification.
- Multi-sensor track correlation: radar, RF/Remote ID, EO/IR, acoustic
- Sensor data ingestion: ASTERIX CAT-010/048/062 (radar tracks), CAT-240 (video), JSON (control/RF)
- AI classification: drone vs. bird vs. clutter, swarm detection
- Intelligent warning and alert suite (airspace incursion, proximity, no-fly zone breach)
- Cross-attention DNN with Kalman / JPDA track association
Supported sensors and external providers.
X-band low-SWaP surveillance
ASTM F3411, ASD-STAN prEN 4709-002
PTZ with object recognition and cueing
Short-range acoustic signature detection
Positioning and time reference
Environmental context for assessment
Deployment architecture.
DroneCore is deployed in containerised, microservice environments. The container host can reside on-premises or in cloud infrastructure (AWS, Azure), so operators choose the strategy that fits the mission. Container-based packaging encapsulates the application and its dependencies, keeping development, testing and production consistent.
- Modular architecture for seamless integration of new hardware sensors or software components
- Containerised microservice backend for scalability and manageability
- Dynamic load balancing, redundant hardware architecture and virtualisation
- Hosted on-premise, or in AWS / Azure cloud architecture
- Database platforms: MSSQL, Oracle, PostgreSQL, MySQL, Snowflake
- Microsoft .NET 8.0 with Python AI inference services
- Web-based dashboard (React/WPF hybrid) for the user interface
- ORM-based database handling
- Enterprise Service Bus / Apache Kafka for internal streaming and external interfaces
Security model.
- Authentication connected to existing Active Directory, or run standalone
- Two-factor authentication supported
- Role-Based Access Control (RBAC) security model
- Supports any type of security domain separation model
Integration to external systems.
- TCP and UDP for radar, RF/Remote ID feed or CCTV communication
- REST and/or SOAP web services for meteorological data, mapping and incident/notification systems
- ASTERIX protocol (CAT-010/048/062/240) for radar and video data
- JSON / SAPIENT (planned) for sensor control and RF/Remote ID telemetry
- Open Inter-VTS/C-UAS Exchange Format for command-and-control interoperability
Relevant standards & data formats.
| Domain | Standard / format |
|---|---|
| Radar tracks | ASTERIX CAT-010 / CAT-048 / CAT-062, JSON |
| Radar video | ASTERIX CAT-240 |
| Radar status | Syslog (CAT-034 optional) |
| RF drone identification | ASTM F3411 (Remote ID), ASD-STAN prEN 4709-002 (EU DRI) |
| Sensor control | JSON, SAPIENT (planned) |
| C2 interoperability | Open Inter-VTS/C-UAS Exchange Format |
Request the full specification.
DroneCore is a product concept from Horizonte AS, Oslo, Norway. Tell us which sensors you operate and we will map them against the interfaces above.
Talk to us