Defence

PingMe: Real-time underwater monitoring for defense and security

In a time of increasing geopolitical tension and growing activity below the surface, situational awareness in the underwater domain is critical. A stronger focus on Underwater Domain Awareness (UDA) is essential to protect critical infrastructure, ensure safe maritime operations, and detect unwanted activity.

 

PingMe offers a dual-use hydroacoustic sensor platform suitable for both civilian and military applications, providing reliable real-time monitoring of fixed and mobile underwater assets.

 

PingMe can be used to monitor and track fixed infrastructure such as cables, pipelines, anchors, and sensor nodes, as well as mobile platforms including autonomous underwater vehicles (AUVs) and unmanned surface vehicles (USVs).

 

The system delivers continuous insight into precise position and depth, movement and stability, operational status in the underwater environment, and deviations to help prevent unwanted incidents.

PingMe supports both civilian and military operations and can be integrated into existing surveillance and command systems. The solution contributes to:

By delivering real-time data from underwater assets, PingMe provides a data-driven foundation for planning, monitoring, and response. The solution is scalable and cost-effective, offering reliable control and situational awareness in an increasingly important operational domain — below the surface, around the clock.

Applications within defense

Unmanned surface vehicles

Unmanned Surface Vehicles (USVs) enable safe and cost-effective data collection and operations at sea without a crew. They are used in aquaculture, environmental monitoring, mapping,

Subsea infrastructure

Pipelines and power cables on the seabed are critical infrastructure, and precise knowledge of their position is essential to avoid damage, reduce risk, and ensure

Sensor platforms

Seafloor environmental monitoring platforms operate unmanned in harsh conditions, where displacement, damage, lack of real-time situational awareness, and loss can lead to reduced data quality,