Autonomous Acoustic Swarm Intelligence
Next-generation drone detection using distributed acoustic sensors, TinyML classification, and passive radar capabilities of the SENTINEL-QC system.
The Science of Sound
Our hybrid architecture balances extreme low-power consumption with high-performance real-time processing to ensure no threat goes undetected.
- Passive Detection: 100% stealthy operation with no RF emissions or active radar radar signatures.
- TinyML Classification: Real-time neural network inference distinguishing drones from environmental noise.
- LoRa Mesh: Resilient long-range communication between sensor nodes for wide-area coverage.
- TDoA Tracking: Precise localization using Time-Difference of Arrival across the sensor swarm.
Precision Engineering
8-Mic Array
High-sensitivity digital MEMS microphones for 360-degree acoustic spatial awareness and signal processing.
MCU Power
Dual-core processing with Raspberry Pi Pico 2, optimized for DORMANT/BATTLE mode transitions.
LoRa Connectivity
Long-range, low-power telemetry using SX1262 LoRa radio with FHSS and S-Box encryption.
Swarm Analytics
The SENTINEL-QC Cloud engine centralizes data from thousands of nodes to provide a comprehensive airspace situational awareness report.
- Real-time trajectory estimation using Doppler-shift analysis.
- Automated alert triggering for specific drone acoustic signatures.
- Integration with existing C-UAS (Counter-Unmanned Aircraft Systems).
Securing Tomorrow's Airspace
We are a deep-tech startup dedicated to protecting critical infrastructure, civilian areas, and national borders from the evolving threat of small, low-altitude unmanned aerial vehicles.