SilentGrid algorithms have successfully completed TRL 5 (Open-water field validation). The hardware-agnostic signal chain demonstrates real-time classification of raw passive acoustic acquisition directly to AI-driven threat classification in authentic coastal environments.
// Fig 1. TRL 5 Validation Run. Real-Time hardware-accelerated isolation of mechanical transients.
In subsea environments, traditional continuous-cable solutions suffer from massive operational fatigue due to false alarms (mud-dampened acoustics, benign environmental noise). SilentGrid's Model V2.1 architecture is evaluated strictly against a Macro F1-Score utilizing 5-Fold Cross-Validation, ensuring extreme sensitivity to rare kinetic threats while maintaining a False Positive Rate of < 1.2% against controlled ambient sets.
| DEPLOYMENT TOPOLOGY | Defense-in-Depth: Hybrid cabling for Coastal Nodes & ROV-deployable Autonomous Nodes for Offshore |
| SENSING & INPUT | Passive Acoustic Monitoring (PAM) via Broadband Piezoelectric Arrays + custom low-noise signal conditioning |
| INFERENCE ENGINE | Proprietary Deep-Audio Neural Network optimized for extreme edge hardware (COTS/NPU) |
| ALGORITHMIC PERFORMANCE | Macro F1-Score: 88.0% | Accuracy: 97.4% | False Positive Rate: < 1.2% (Model V2.1) |
| CLASSIFICATION LATENCY | Hardware-validated signal chain capability at 0.16 ms |
| TELEMETRY PROTOCOL | Encrypted micro-payload alerts only (No raw audio stream exposure) via acoustic modems & hybrid cabling |
| SPACE SENSOR FUSION | Architecture designed to cross-reference acoustic alerts with orbital SAR, EO, and Sat-AIS telemetry |