The Naval Surface Warfare Center Panama City Division has launched the MEASUR underwater assessment project to revolutionize how the U.S. Navy detects physical damage. By integrating AI with the STEIV unmanned vehicle, this initiative provides rapid data to improve Battle Damage Assessment, enhancing operational security and warfighter safety in maritime environments.
How does the MEASUR project work?
The MEASUR project utilizes the STEIV unmanned vehicle equipped with high-resolution sonar and electro-optic cameras. This sensor suite captures 3D data, which is processed through a machine learning pipeline. This automated system detects and analyzes physical damage to underwater objects, providing reliable, in-situ inspection results for naval operations.
Why is this technology critical?
This technology improves Battle Damage Assessment (BDA) methods, essential for determining if threats are neutralized. By automating the inspection process, the system delivers rapid data to commanders. This innovation addresses overlooked aspects of subsea warfare, saving resources while ensuring naval vessels can navigate waters with greater confidence and safety.
