Maritime Awareness / Drift Simulation

SeaCommons live drift overview

SeaCommons combines distress intake, weather context and drift projection in one clear operational view. The simulation shows how a reported position can evolve into 6 h, 12 h and 24 h search areas for rescue, monitoring and forensic review.

Live demo Drifter · Prototyping
FastAPI + React OpenDrift BLAKE3 + Ed25519 AGPL-3.0
time / drift spread
t0 distress signal
sar intercept asset
x predicted intercept
6h cone / advisory
12h search spread
24h max envelope
// open maritime intelligence

A platform that turns a reported position into a verifiable record.

When someone goes missing at sea, the gap between what happened and what can be proven is measured in data. SeaCommons closes that gap: it receives a distress signal, calculates where a person or vessel is likely to have drifted based on wind, currents and wave conditions, and produces a signed record of every step of that process.

The result is both an operational tool and a legal instrument. It is built for organizations that cannot afford commercial contracts, work in areas with poor connectivity, or need documentation that holds up to scrutiny long after the event.

// what the platform does

Six core functions, one operational record.

01
Distress intake
When someone reports an emergency at sea — by message, call or automated alert — the platform maps the position and opens a case. A drift calculation starts within thirty seconds. No manual entry required.
02
Drift projection
Using live wind, current and wave data, the platform projects where a person or vessel will likely be in 6, 12 and 24 hours. The type of object matters — a rubber dinghy drifts differently from a wooden hull or a life raft.
03
Vessel tracking
Every vessel in an operational area is tracked in near real time. The platform flags ships that go silent, behave unusually, or appear where they should not — including cases where GPS positions have been falsified.
04
Infrastructure monitoring
When something happens near a subsea cable or pipeline, vibration and sound sensors detect it. The platform logs the event, maps which vessels were nearby, and produces a timestamped record of the incident.
05
Ballistic & aerial detection
Six passive sensors — sound, ground vibration and upper-atmosphere signals — monitor the operational area simultaneously. An alert is only raised when several agree, preventing false alarms. This extends maritime awareness into the aerial and ballistic domain.
06
Forensic logging
Every incident is recorded automatically: who reported it, what conditions were measured, and what the platform calculated. The record is tamper-proof, verifiable by anyone, and structured to be used as evidence in court.
// who it's for

Built for organizations that work without a commercial dependency.

Search and rescue
Rescue teams that need to know where to look — and a record that proves what they found — without paying for a government-grade contract.
Humanitarian organizations
NGOs working in the Mediterranean, Red Sea or other dangerous corridors who need to document incidents clearly enough to hold authorities accountable.
Investigators and legal teams
Journalists, lawyers and researchers building a verifiable account of what happened at sea — pushbacks, distress incidents, vessel behavior — for courts or public accountability.
Research institutions
Academic and field teams that need a transparent, open-source platform they can inspect, modify and run independently — not a black box.
// open source · AGPL-3.0

The code, the data formats and the methodology are public.

SeaCommons is released under AGPL-3.0. Every component is documented, the forensic schema is published as an open specification, and the platform is deployable without ongoing dependency on this studio. You can run it yourself, inspect every calculation, modify it for your context and contribute back.

// research foundation

The methodology is grounded in peer-reviewed science.

SeaCommons applies and extends validated research on Lagrangian drift modelling, leeway physics and maritime forensic documentation.

01drift engine
OpenDrift v1.0: a generic framework for trajectory modelling
Foundational paper for the Lagrangian particle framework and Monte Carlo leeway architecture used in SeaCommons drift calculations.
02leeway validation
Validation of OpenDrift-Based Drifter Trajectory Prediction for Maritime SAR
447% higher prediction performance vs current-only models within the 14-hour survival window. Identifies no-operational-system integration as the primary gap.
03state of the art
Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface
Current deep learning state of the art. Outperforms classical models on oceanographic benchmarks; no operational or forensic component.
04multi-modal forecasting
Multi-Modal Drift Forecasting via Navier-Stokes-Guided CNN and Seq2Seq Attention
Most recent methodology contribution. Physics-informed neural networks + sequence modelling. No operational intake or forensic output.
05forensic precedent
Forensic Oceanography — Mare Clausum
Methodological precedent for evidence-grade maritime documentation. Each investigation is ad hoc; no deployable system exists — the gap SeaCommons addresses.
06operational gap
THEMIS SAR — CLS Group
Closest institutional equivalent: drift, data fusion, asset coordination for coastguards. Proprietary, not independently deployable, no forensic record, no civilian multi-source intake.
// current state

Platform running.

Demo platform
live
API authentication
in progress
Multi-organisation
in progress
PDF forensic export
in progress
NGO first deploy
planned
Drifter buoy · 3 units
prototyping