Fragmented airspace awareness
Low-altitude activity is split across sensor consoles that never resolve into a single agreed track.
Defence
Counter-UAS sensor fusion for defence operations.
DroneCore by Horizonte correlates radar, RF, EO/IR and acoustic sensors into one low-altitude operational picture, so command teams act on tracks rather than on competing sensor feeds.
- Sensor fusion
- Multi-domain
- Architecture
- NATO-compatible
- Deployment
- On-prem / edge
01Operational reality
More sensors don't automatically create better awareness.
Multiple sensor systems
Radar, RF, EO/IR and acoustic subsystems arrive from different vendors with different formats and refresh rates.
Complex command structures
Several units and echelons need the same picture at the same time, with role-appropriate detail.
Growing UAS threats
Small, low, slow and increasingly coordinated platforms defeat single-sensor detection logic.
02What changes
One correlated picture, built from what you already operate.
Unified operational picture
One correlated track list shared across operators, watchfloors and command echelons.
Multi-domain sensor fusion
Feature- and decision-level fusion across radar, RF/Remote ID, EO/IR and acoustic evidence.
Faster decision-making
Confidence scoring and classification reduce the time between first detection and a defensible decision.
NATO-compatible architecture
ASTERIX ingest, documented APIs and open exchange formats fit existing C2 environments.
03Example deployment
Military base integrating radar, RF sensing and EO/IR cameras.
- 01
Ingest
Perimeter X-band radar and RF/Remote ID receivers feed DroneCore over ASTERIX and JSON.
- 02
Correlate
Observations are associated into single tracks with a running confidence score.
- 03
Understand
Classification separates UAS from birds and clutter; EO/IR is cued for visual confirmation.
- 04
Decide
Correlated tracks and alerts are published to the command-and-control system in use.
04Integration examples
Designed to become part of the system — not another isolated system.
DroneCore by Horizonte is sensor-agnostic. It ingests from the equipment already deployed and publishes correlated tracks onward through documented APIs and open interfaces.
Detection
- Echodyne
- Hensoldt
- Aaronia
- Dedrone
Visual & recording
- Milestone
- PTZ EO/IR
- VMS
Command & control
- C2 systems
- ASTERIX
- REST API
- Streaming
05Related case study
Case study · Northern Europe
Fusing four sensor types across a dispersed military installation.
A defence customer connected existing radar, RF and EO/IR assets to DroneCore instead of replacing them, and consolidated four operator consoles into one correlated track picture.
Request the full case study- Sensor types fused
- 4
- Operational picture
- 1
- Track update cadence
- < 1 s
06Questions
Frequently asked
?Does DroneCore replace our existing Counter-UAS sensors?
No. DroneCore by Horizonte is a sensor-agnostic fusion layer. It ingests from the radar, RF, EO/IR and acoustic equipment already deployed and correlates it into one track picture.
?Can it run fully disconnected from the internet?
Yes. DroneCore is designed for on-premise and edge deployment, and can run entirely inside a closed security domain.
?How does it integrate with command-and-control systems?
Through documented REST and streaming interfaces plus ASTERIX exchange, so correlated tracks are published onward rather than trapped in a separate console.
?How are drones distinguished from birds?
AI classification combines kinematic, RF and imagery evidence, maintaining competing hypotheses with confidence scores until the evidence resolves.
07Next step
Schedule a Defense Capability Briefing
A technical session on how DroneCore by Horizonte would fuse your deployed sensors and publish into your existing C2 chain.