UK MOD: 95% Wave Detection with Pragmatic AI
The UK MOD needed to stabilize their fleet of self-driving boats in rough oceans. We delivered a scalable, IMU-based solution that detects waves with 95% accuracy and minimizes rocking by 90%, ensuring mission safety and accuracy.
Mission safety required ocean-aware autonomous boats
The UK MOD operates a fleet of self-driving boats to reduce costs and automate tasks. However, ocean waves were severely impacting their performance. Traditional sensor-based approaches using high-resolution radars and cameras failed to provide reliable, scalable wave detection across the entire fleet.
Pragmatic AI — Scalable, IMU-based detection
Instead of chasing high-cost sensor technologies, we took a pragmatic approach. By leveraging low-cost IMU sensors and sophisticated model fitting techniques, we developed a system that identifies the main wave direction in minutes, allowing vessels to adjust their course and minimize rocking motion.
Iterative development process ensuring the final solution met the client's pragmatic needs
Transition from expensive CV models to cost-effective IMU (Inertial Measurement Unit) sensors
Sophisticated model fitting techniques to identify main wave direction with high accuracy
Optimised algorithms for real-time wave pattern analysis and course correction
Hardware-agnostic design allowing for rapid deployment across diverse vessel types
Modular architecture that supports seamless integration of future sensing technologies
Fleet-wide stability quantified — 90% rocking reduction
The deployed system didn't just meet accuracy targets — it redefined how the MOD manages autonomous vessel stability across their fleet. Safer, more accurate, and 100% flexible for future sensing needs.
"Our pragmatic approach is 100% focused in delivering a successful project that actually works in the real world, rather than just chasing the latest AI models."
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