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VESPER / ACOUSTIC IDENTITY CONCEPT

SOFAR AI / MARITIME ACOUSTIC INTELLIGENCE

Ocean
is not silent.

We turn underwater sound
into maritime intelligence.

Explore the signal
BY SOFAR AI

01 / ACOUSTIC IDENTITY

Identity
in the noise.

Every vessel leaves an acoustic signature.
We are building the intelligence to tell them apart.

Follow the signal

02 / THE RAW SIGNAL

It starts with
a trace.

Propulsion. Machinery. Movement. A hydrophone captures the patterns a vessel leaves in the water.

The fingerprint is a visual metaphor. This spectral replay comes from a hydrophone recording.

From presence to identity
ACOUSTIC SIGNATURE01 / HYDROPHONE
Hydrophone frequency spectrum: 40 Hz to 4 kHz.
Port of Valencia / PORTIA v2 · 3 s replay
About this signal

A recorded hydrophone sample, not a live feed or VESPER identification result. Channel 0; 4,096-sample Hann FFT; 160 logarithmic frequency bins. Line height is normalized spectral magnitude, not calibrated sound pressure. Playback uses the same channel, converted to mono 16-bit PCM.

Adapted from PORTIA v2 by Anaida Fernández García, Alberto Belmonte Hernández, Jose Miguel Higon, Rafael Company, Francisco Jose Perez Carrasco, Federico Alvarez Garcia and Álvaro Gutiérrez. CC BY 4.0.

03 / TWO DIFFERENT QUESTIONS

Something is there.
But what makes it distinct?

DETECTION

Ocean Sentinel

Acoustic classification and maritime context turn sound into a vessel detection.

Explore the system ↗
IDENTITY

Research into recognizing individual vessels across recordings and conditions.

IN DEVELOPMENT / SOFAR AI

04 / THE ACOUSTIC FOUNDATION

From sound
to a vessel detection.

Ocean Sentinel transforms recordings into spectral features, scores vessel presence and checks the result against the local conditions.

  1. 01Audio → spectrogram
  2. 02Spectral features → classification
  3. 03Detection → maritime context
Inside the model

05 / EVIDENCE, THEN ACTION

Evidence in view.
The operator in control.

A detection is a starting point. The acoustic evidence, confidence and maritime context stay together for an operator to inspect.

Detection today. Research into individual acoustic identity next.