01
Ingest
Connect heterogeneous sensors and existing systems: radar tracks and video, RF / Remote ID telemetry, EO/IR, acoustic sensors and additional external sources.
- Radar tracks & video
- RF / Remote ID telemetry
- EO/IR streams
- External sources
Counter-UAS · Multi-sensor fusion
Many sensors.
One operational picture.
Turn disconnected drone detection systems into one operational picture.
DroneCore by Horizonte correlates radar, RF, EO/IR, acoustic and other sensor feeds into a single real-time picture of low-altitude threats — helping operators detect, understand and respond faster.
Confidence grows as sensors agree
01
Radar detection
Initial track
0%
02
+ RF observation
Bearing correlation
0%
03
+ Acoustic match
Direction match
0%
04
+ EO/IR confirmation
Visual confirmation
0%
Fuse
Correlate heterogeneous sensor data into persistent tracks.
Understand
AI-assisted classification with explicit confidence and uncertainty.
Alert
Intelligent warnings for incursions, proximity and no-fly-zone breaches.
Integrate
Open interfaces and APIs to existing sensors, systems and C2 platforms.
Secure
Designed for mission environments with controlled access and flexible deployment.
01The problem
More sensors don’t automatically create better awareness.
Modern C-UAS environments increasingly contain multiple specialised sensors. Each one sees a different part of reality.
- Radardetects movement.
- RFdetects emissions.
- EO / IRprovides visual evidence.
- Acousticprovides another observation.
Operators should not have to interpret several independent screens and decide manually whether they are looking at the same object.
Fragmented observations → one picture
- Radar
- RF
- EO / IR
- Acoustic
- Other
DroneCore
One operational picture
02What DroneCore does
From sensor feeds to operational intelligence.
02
Correlate
Determine which observations from different sensors belong to the same physical object, and maintain persistent tracks across multiple sensor systems.
- Observation association
- Persistent track identity
- Cross-sensor continuity
03
Understand
Sensor fusion, tracking algorithms and AI-assisted classification distinguish drones, birds, clutter and unknown objects — with uncertainty represented explicitly rather than hidden.
- Multi-sensor fusion
- Assisted classification
- Explicit uncertainty
04
Alert
Turn tracks into actionable warnings based on airspace incursions, proximity, no-fly-zone breaches and other operational rules.
- Airspace incursions
- Proximity rules
- No-fly-zone breaches
03Fusion
Confidence grows when sensors agree.
DroneCore by Horizonte does not simply answer “drone detected: yes”. It continuously builds and updates competing hypotheses from the evidence available at that moment.
04Open sensor architecture
Bring the sensors you already have.
DroneCore by Horizonte is designed as a sensor-agnostic integration layer. It does not replace existing sensors — it makes them work together.
Radar
Movement and kinematics
RF / Remote ID
Emissions and telemetry
EO / IR
Visual and thermal evidence
Acoustic
Rotor and platform signatures
GNSS / INS
Positioning and reference
Meteorological
Environmental context
Third-party sensors
Open integration paths
Sensor-agnostic by design
Integration approaches
- ASTERIX CAT-010 / 048 / 062
- ASTERIX CAT-240
- JSON
- REST
- TCP / UDP
- Open Inter-VTS / C-UAS Exchange Format
- SAPIENTPlanned
SAPIENT support is planned and not an existing capability.
Processing chain
- 01Sensors
- 02DroneCore ingestion
- 03Track correlation
- 04Multi-sensor fusion
- 05Classification
- 06Threat / alert logic
- 07Operational picture
- 08External C2 / API
05Built for the edge
Deploy where the mission requires.
DroneCore uses a containerised, modular microservice architecture, so defence and utility customers can keep sensitive data within their chosen security environment.
On-premise
Edge / field infrastructure
Private cloud
AWS
Azure
Platform controls
- +Role-Based Access Control
- +Two-factor authentication
- +Active Directory integration
- +Security-domain separation
- +Redundant architecture
- +Containerised deployment
06Use cases
One picture, several operational realities.
01Defence
Fuse heterogeneous sensors into a common low-altitude operational picture for Counter-UAS operations.
Explore Defence →
02Energy & utilities
Monitor sensitive facilities using combinations of radar, RF, EO/IR and acoustic sensing.
Explore Energy & utilities →
03Airports
Combine multiple detection technologies to improve situational awareness around protected airspace.
Explore Airports →
04Ports & maritime
Correlate coastal radar, RF and CCTV across quays, approaches and open water.
Explore Ports & maritime →
05Campuses
One correlated picture over open, populated campuses with zone-based escalation.
Explore Campuses →
06Cultural institutions
Early warning over landmarks, museums and event venues for small security teams.
Explore Cultural institutions →07Interoperability
Designed to become part of the system — not another isolated system.
DroneCore exchanges information with existing sensor networks, command-and-control systems and external applications through documented APIs and open interfaces.
- REST API
- Streaming interfaces
- Open exchange formats
Sensor networks
DroneCore
C2 · Decision support · External systems
Bi-directional exchange
08Horizonte
Developed by Horizonte AS.
Horizonte is a Norwegian technology company developing advanced software for sensor integration, tracking and operational awareness.
Oslo, Norway
Turn disconnected drone detection systems into one operational picture.
DroneCore by Horizonte isn’t another sensor. It is the intelligence layer that makes multiple sensors work as one.
Discuss an integration