Digital Defense, Aerospace & Homeland Security

Approach & Solution

Approach
The most common causes of noise are due to the noise of the marine environment itself, which is amplified by specific characteristics such as: the morphological conformation and type of seabed, the presence of interference sources, especially in the case of high traffic density, and the noise of the observation platform itself (self-induced noise).
Solution
- a "peripheral" component, which is installed on board the submarine unit and receives the acoustic traces acquired with the on-board sonars, and after an initial pre-processing phase performs the classification of the traces using specific machine learning algorithms
- a "central" component installed at a validation and enhancement station, on which users validate the results obtained with the AI algorithms and perform the training of the machine learning networks employed.
The two components operate independently, so that the performance of one is not compromised by the performance of the other; periodic synchronisation of the respective databases is foreseen.
Results
Process underwater audio tracks
Establish type of detected target
Multilevel target classification (family and class)
Degree of recognition
>70%
Training for performance improvement
Project value
Process performance
Innovation
Enabling Technologies
AI Advanced Analytics
Project Team
Defense, Aerospace & Homeland Security