Turn Optical Fiber into a 24/7 Intelligent Acoustic Sensor
AI-DAS leverages advanced Distributed Acoustic Sensing (DAS) technology to transform existing standard optical cables into continuous, high-sensitivity vibration and acoustic sensors spanning tens of kilometers. Powered by edge AI deep learning algorithms, the system accurately detects, classifies, and pinpoints abnormal events such as illegal excavation, perimeter intrusion, pipeline leaks, and mechanical faults, building an all-around security shield for long pipelines, critical perimeters, and railway corridors.
DAITTO AI-DAS combines distributed acoustic sensing with AI-powered event recognition to transform standard optical fiber into a continuous, long-distance monitoring network. Instead of relying only on periodic inspection, AI-DAS continuously listens to the physical environment along the fiber and converts subtle vibration and acoustic signatures into actionable events.
A single interrogator unit covers up to tens of kilometers without blind spots, delivering seamless continuous sensing.
Integrated deep convolutional neural networks (CNN) accurately distinguish construction digging, manual climbing, and vehicle passings, reducing false alarm rates by over 95%.
The passive optical fiber sensor is immune to electromagnetic interference and corrosion, making it ideal for hazardous, explosive, and harsh industrial environments.
Provides meter-scale pinpoint positioning of vibration sources with instant real-time linkage to CCTV and GIS systems.
Optical fiber acts as the sensing medium. Changes in vibration and acoustic activity along the monitored route influence the backscattered optical signal. DAITTO processing converts these signal changes into spatially located events, while AI algorithms help distinguish meaningful threats from normal background activity. The result is a continuous “digital nervous system” for critical infrastructure.
AI-DAS helps operators detect what is happening along critical infrastructure—earlier, continuously and with less dependence on manual patrols.