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How DFOST® Work?

The measurement of vibration, strain, and temperature in a fiber optic cable relies on the interaction between laser light and the glass in an optical fiber. When light travels through a transparent media, the main pulse travels forward, however, a small fraction is backscattered through interaction with the glass particles.

This changes at every point along the cable in accordance with the local environment. Different backscatter processes can be used to extract relevant information. That backscatter signal can be exploited by different technologies to understand the external environment–vibration, strain, temperature, etc. The end data can be used to understand the environment at every point along the fiber and act on the information.


Machine Learning :
An Integral Part in Our Solution

Distributed Acoustic Sensing (DAS) is a technology that enables the transformation of fiber optic cables into thousands of individual sensors for detecting sound waves. Machine learning techniques can be applied to DAS data to extract valuable information and insights from the collected signals.

The primary objective of using machine learning in DAS is to improve the accuracy, efficiency, and effectiveness of acoustic signal processing. Machine learning algorithms can learn to recognize and classify specific acoustic patterns or anomalies that could indicate a potential problem or threat, such as the presence of a leak in an oil pipeline, a fracture in a wind turbine blade, or an intrusion in a border security system.

By processing and analyzing large volumes of DAS data using machine learning techniques, it is possible to identify subtle changes or deviations from normal patterns that could indicate potential issues, providing early warning alerts that can help to prevent more serious problems from occurring.

In summary, the objective of using machine learning in DAS is to leverage the power of artificial intelligence to enhance the capabilities of this technology in a variety of industries and applications, ranging from oil and gas exploration to infrastructure monitoring and security.


Event & Alert Management
Information System

An effective event and alert management information system is a critical component of any organization’s operations. Such a system enables organizations to monitor, detect, and respond to critical events, incidents, and alerts promptly and efficiently, thereby minimizing their impact and ensuring business continuity.

Our Flagship Products

After five years of research and development, DFOST® launched its Distributed Acoustic Sensing Solution, Luminis™️, and its web software platform, insight™️.

DAS Luminis™

Stronger design for enhanced reliability

The hardware solution, Luminis™️, includes a state-of-the-art optoelectronic interrogator and a powerful data acquisition and processing unit, each housed separately in a standard 4U rack-mount enclosure.

The system is capable of reflectometry of vibration with a meter size spatial resolution for various ranges for ranges of up to 10 to 50 km.

DAS Insight™

High resolution & Effective AI solution

The software solution, insight™️, has been designed for great user experience and to provide full control to its operator and customer in monitoring their strategic assets.

Insight™️ modular design includes user access level; system settings & health; technical support; data acquisition, visualization & analysis; event recognition & threat analysis; and alert management information system.

Our Advantages

Overall, DFOST® offers a flexible and versatile solution for monitoring physical parameters along large structures and in harsh environments and provides a high-resolution, long-range, and cost-effective alternative to traditional point sensors.

Long-range & Real-time Sensing

DFOST® systems can measure physical parameters in real-time over long distances, useful for monitoring pipelines, bridges, tunnels, railways, dams, and other large structures.

High Resolution

DFOST® systems can provide high-resolution measurements of physical parameters, useful for detecting precisely in subtle changes.

Low Power Consumption

DFOST® systems consume very little power, which makes them useful for monitoring remote or hard-to-reach structures.


DFOST® systems can be cost-effective compared to traditional point sensors, as a single fiber optic cable can carry multiple sensing points.


Immunity to Electromagnetic Interference

DFOST® systems are immune to electromagnetic interference, which are useful for monitoring structures in harsh environments.


DFOST® systems can multiplex multiple sensing points into a single optical fiber, allowing a large number of sensors to be deployed.

Low Maintenance

Fiber optic cables are low maintenance, flexible, durable, and non-conductive, also well-suited for installation in harsh and inaccessible environments.

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