Detect Critical Seafloor Anomalies—Faster, Smarter, and at Scale

Automate the detection of seafloor anomalies (e.g. objects, shipwrecks, UXOs, cables, and more) —directly from raw hydrographic datasets—so your team can focus on what truly matters.

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Detect What Matters on the Ocean Floor

Modern offshore operations depend on fast, reliable, and scalable detection of anomalies and objects in the marine environment.
Whether you're surveying for UXOs, wrecks, cables, or pipeline integrity, north.io’s Ocean Data Analytics helps you find what others miss.

Manual detection is slow and error-prone

Traditional workflows rely heavily on manual inspection of rasterized and aggregated datasets, missing critical detail from highest resolution raw sensor data.

Edge cases are
often ignored

Objects on the boundaries of scan blocks or in sparse regions frequently go undetected.

Data overload

Modern sensors generate terabytes of complex point cloud data — making full review nearly impossible without automation and scalable computational resources.

What Sets Us Apart

Ocean Data Analytics – Anomaly Detection Reinvented

Our solution automates anomaly and object detection directly on raw hydrographic datasets (MBES & SSS), combining spatial intelligence with modern big data approaches. The result? Faster discovery of what matters, with fewer false alarms.

High-Fidelity Seafloor Analysis

We process hydrographic data at the maximum available resolution—directly from raw sensor outputs—to preserve fine-scale geometry and material characteristics often lost in simplified or aggregated rasterised elevation models.

Adaptive Pattern Recognition

Our solution learns the natural variability of the seafloor and automatically identifies features that diverge from expected patterns—enabling fast, reliable anomaly detection at scale.

Detail-Rich Spatial Processing

Survey areas are analysed in spatially aware, overlapping segments that ensure no critical feature—such as wrecks, UXOs, or infrastructure—is missed due to boundary effects or data sparsity.

Multi-Dimensional Anomaly Scoring

We combine multiple dimensions of indicators to pinpoint true anomalies while minimising false positives—enhancing decision-making in offshore survey, inspection, and clearance missions.

See What Others Miss Beneath the Surface

Experience how automated anomaly detection accelerates offshore decision-making—from survey to action.

No more guesswork, no more blind spots.

 

Get a Demo

 

From Raw Data to Clear Insight

  1. Ingest and Interpret Complex Seafloor Data
    We start with raw hydrographic sensor data—capturing both the physical shape and the reflective properties of the seabed. This provides a rich foundation for understanding both structure and material.
  2. Break Down the Survey Area into High-Resolution Segments

    The data is organized into spatially optimized analysis zones that preserve local context and reveal features others might miss—especially small or edge-bound anomalies.
  3. Extract Meaningful Patterns from the Seafloor

    Advanced statistical descriptors are generated from each segment, enabling a deep understanding of what constitutes “normal” terrain across varying conditions and environments.
  4. Learn and Generalize What ‘Normal’ Looks Like

    Using intelligent pattern recognition, the system learns typical seabed characteristics. Any deviation from this learned baseline—whether structural or material—is flagged for review.
  5. Score and Validate Potential Anomalies

    Suspect areas are cross-examined using multiple indicators to confirm whether they represent genuine anomalies or irrelevant noise. This reduces false positives and increases operational confidence.
  6. Visualize Results for Fast, Informed Decisions

    Anomalies are presented in clear, map-based visual layers that highlight relevant findings—enabling fast interpretation and confident action by your team.
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From Raw Data to Clear Insight

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Ingest and Interpret Complex Seafloor Data

We start with raw hydrographic sensor data—capturing both the physical shape and the reflective properties of the seabed. This provides a rich foundation for understanding both structure and material.

Icon_2

Break Down the Survey Area into High-Resolution Segments

The data is organised into spatially optimised analysis zones that preserve local context and reveal features others might miss—especially small or edge-bound anomalies.

Icon_3

Extract Meaningful Patterns from the Seafloor

Advanced statistical descriptors are generated from each segment, enabling a deep understanding of what constitutes “normal” terrain across varying conditions and environments.

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Learn and Generalise What ‘Normal’ Looks Like

Using intelligent pattern recognition, the system learns typical seabed characteristics. Any deviation from this learned baseline—whether structural or material—is flagged for review.

Icon_5

Score and Validate Potential Anomalies

Suspect areas are cross-examined using multiple indicators to confirm whether they represent genuine anomalies or irrelevant noise. This reduces false positives and increases operational confidence.

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Visualise Results for Fast, Informed Decisions

Anomalies are presented in clear, map-based visual layers that highlight relevant findings—enabling fast interpretation and confident action by your team.

Why It Matters

Faster Decisions

Automated detection means your team spends less time scanning and more time acting.

High Precision

Ingesting the raw sensor data, the detection can be done on the highest resolution possible — ideal to detect even small anomalies. 

Scalable for Big Data

Works across terabyte-scale MBES and SSS datasets without losing resolution or context.

Built for the Offshore Industry

Tailored to hydrographic workflows, environmental uncertainty, and the need for evidence-based decision-making.

Further Reading

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Riding the New Wave in Hydrography: A Story About Data, Trust, and the Sea

Discover how TrueOcean leverages cloud and AI to revolutionize hydrography, delivering faster, more reliable marine data for better decision-making.

Read Blog

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Protecting Critical Subsea Infrastructure: north.io’s Argus Project Secures €2.4 Million Federal Grant

Geospatial cloud specialist north.io has been awarded a €2.4 million grant for the "Argus" project for underwater big data analytics in the context of critical underwater infrastructure.

Read More

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MUNIMAP — Baltic Sea Munitions Remediation Roadmap

The historical pollution of the Baltic Sea and the Skagerrak by chemical and conventional munitions poses a serious threat to the marine ecosystem and an obstacle to the maritime economy. 

Read More

 

Frequently Asked Questions