SonicEye is an acoustic UAV detection system: a network of high-sensitivity probes and real-time signal analysis. Fully passive — it emits nothing and reveals no position.
// we prefer cooperation based on tests and data, not marketing claims
The outcome of acoustic detection depends on the entire chain: from the microphone membrane to the classification model. That is why we design every link as a coherent whole — mechanics, electronics, and processing.
Proprietary measurement electronics and a construction that limits mechanical and environmental interference.
Extraction of harmonic signatures from very low signal levels, in complex acoustic scenarios.
Machine-learning models running locally (edge computing) — an alert is raised only after detection is confirmed.
The system identifies unmanned objects at a stage where they are still invisible to an observer. The priority is not a single result, but repeatability over a long horizon.
Permanent installation at the protected site. Continuous monitoring with no operator on location.
For environments where radio emission is unacceptable. No network connectivity — no risk of revealing position.
Typical properties of UAV detection systems in technical terms — without reference to specific manufacturers.
| SonicEye · acoustic | RF / radio | Radar | Optical / thermal | |
|---|---|---|---|---|
| detection scope | drones emitting sound | only those emitting RF | depends on RCS | depends on visibility |
| false alarms | low — alert after confirmed classification | moderate | high (drone ≈ bird) | depends on algorithms |
| power consumption | 20–60 W (edge AI) | 100 W – 2 kW+ | 300 W – 5 kW | 20–200 W |
| jamming resistance | very high | low | moderate | high |
| detection type | passive — acoustic signature | RF emission | active, detectable | image / IR |
| weather dependence | low–moderate | very low | low | high (fog, night) |
// indicative parameters — dependent on system configuration and environmental conditions
In acoustic detection, the result depends not only on algorithms but on the quality of the input signal. We designed the probe as a coherent whole: mechanics, electronics, processing.
We enable partners to verify the system in real operating conditions. The goal is an objective assessment of effectiveness and adaptation of the system to a specific environment.
The system architecture scales from single installations to distributed sensor networks. Two variants cover both permanent site protection and mobile field operations.
SonicEye does not have to be yet another separate screen. Available APIs and integration tools allow acoustic detection to be embedded in the systems already running on site.
SonicEye develops acoustic detection technologies for industrial and strategic applications. We focus on long-term partnerships and data-driven development.