STL has embedded its Fibre Optic Sensing (FOS) technology into Nvidia Jetson Edge AI modules to improve cost and performance. The enhanced AI-FOS solution leverages Nvidia’s hardware to enable more precise and efficient monitoring of fibre optic cable networks, detecting potential faults before they cause disruptions. With several million hours of AI/ML training, STL’s platform offers high levels of precision for identifying network issues, ultimately reducing operational and maintenance costs for infrastructure owners.
This integration allows for a more effective way to secure critical infrastructure such as telecom networks, borders, and sensitive installations. The AI-FOS system can predict fibre cuts and other failures in various environmental conditions, significantly reducing downtime and associated costs. By embedding its AI technology into Nvidia modules, STL can deliver faster, more affordable network monitoring and protection solutions.
STL presented the AI-FOS platform at IMC 2024, emphasizing its capability to support seamless communication by preventing disruptions in fibre networks. Commenting on the advancement, Badri Gomatam, Group CTO, said, “Embedding Nvidia Edge AI into this technology takes it to the next level. Our AI-FOS solution continuously monitors the condition of multiple fibre optic cable installations, providing high-precision fault geo-localization prior to an adverse event.”
• STL embeds Fibre Optic Sensing (FOS) technology into Nvidia Jetson Edge AI modules.
• AI-FOS predicts fibre cuts and reduces operational and maintenance costs.
• Solution improves monitoring for telecom networks, borders, and sensitive infrastructure.
• High precision fault detection in diverse environmental conditions.
• STL’s AI/ML stack has undergone millions of hours of field-proven training.
“Embedding Nvidia Edge AI into this technology takes it to the next level. Our AI-FOS solution continuously monitors the condition of multiple fibre optic cable installations, providing high-precision fault geo-localization prior to an adverse event.” – Badri Gomatam, Group CTO, STL
