• Optical fiber: intelligent signal classification

    FOSINA is an innovative French startup that uses fiber-optic networks as sensors to detect events such as intrusions, vibrations, or temperature changes in real time. Thanks to this technology, a standard fiber-optic cable can be transformed into a network of thousands of sensors, enabling precise and continuous monitoring over tens of kilometers without requiring any electronics along the fiber.

    Artificial intelligence combined with this technology makes it possible to classify captured signals—for example, to distinguish between a human and an animal on a railroad track or to identify a boat passing over wind turbine cables. This solution enables the detection and precise localization of hazards in real time, while optimizing maintenance and monitoring costs across various sectors such as rail, perimeter security, and energy.

    Join Roman Didelet, Machine Learning and Application Engineer at FOSINA, to learn how this innovative technology enhances real-time detection and helps improve security while reducing operational costs.

    FOSINA is an innovative French startup that uses fiber-optic networks as sensors to detect events such as intrusions, vibrations, or temperature changes in real time. Thanks to this technology, a standard fiber-optic cable can be transformed into a network of thousands of sensors, enabling precise and continuous monitoring over tens of kilometers without requiring any electronics along the fiber.

    Watch the video on YouTube