SilentGrid algorithms have undergone rigorous hardware-in-the-loop (HITL) physical testing. The telemetry interface demonstrates real-time classification of raw transducer input against complex aquatic ambient noise.
| SENSING TOPOLOGY | Passive Acoustic Monitoring (PAM) via Broadband Piezoelectric Array + JFET Impedance buffer |
| INFERENCE ENGINE | ONNX Runtime Accelerated Convolutional Neural Network (CNN) |
| CLASSIFICATION LATENCY | Hardware-validated inference at 0.16 ms |
| ALGORITHM ACCURACY | 97.4% (Model V2, utilizing localized multi-path augmentation) |
| TELEMETRY PROTOCOL | Encrypted Event Metadata only (No raw audio stream exposure) |
| THREAT TAXONOMY | UUVs, SCUBA, Mechanical Sabotage, Active Sonar Emissions |