ACOUSTIC SIGNATURE ANALYSIS
Spectrogram-based classification of rotor harmonics, motor whine, and aerodynamic noise across the audible and near-ultrasonic band.
ACU Labs develops acoustic intelligence systems to detect, localize, and neutralize fiber-optic UAV threats that conventional electronic sensors may miss.
Fiber-optic drones operate without radio emissions. They cannot be detected, classified, or defeated by RF-centric counter-UAS systems. ACU Labs treats this gap as the next operational frontier.
Spectrogram-based classification of rotor harmonics, motor whine, and aerodynamic noise across the audible and near-ultrasonic band.
Four distributed nodes resolve bearing-of-arrival, with uncertainty bounds visualized in real time.
Investigation of acoustic-to-fiber coupling pathways using G657A2-class spools as candidate distributed sensing media.
Every detection event is timestamped, justified, and exportable as structured audit data for downstream review.
FiberSentry Acoustic is an operational acoustic C-UAS platform built around distributed fiber sensing, passive multi-node geometry, and signature-driven classification of fiber-optic UAV threats.
Deployable as a standalone four-node array or integrated into existing site-defense stacks, FiberSentry feeds classified detection events into downstream effector and C2 systems for end-to-end interdiction.