"Offshore operations cannot rely on having a continuous, reliable internet connection - for subsea operations this is even more pertinent," noted Brian Allen, Beam's CEO. "The robot is making real time decisions, so minimizing latency is also important, especially in a safety critical environment." This highlights the significant need for local AI in underwater operations where connectivity challenges exist.
The AI model, which acts like the brain for the AUV, was trained on a massive dataset collected from previous offshore projects and inspections spanning years. This enables the algorithm to identify issues like erosion, adapting continuously to new data to improve its performance.
Beam's latest AUV performs complex underwater tasks autonomously, creating a breakthrough in marine technology. With edge AI, the drone’s local processing allows it to function without needing WiFi, enhancing operational efficiency.
The AUV successfully surveyed the entire foundation of a wind turbine at Seagreen, the world's deepest fixed bottom offshore wind farm, showcasing its effectiveness in real-world subsea environments.
[
Collection
]
[
|
...
]