Illegal Fishing AI

Detects and monitors unauthorized vessels using satellite imagery, AI-driven analytics, real-time alerts to enforce maritime regulations and protect marine resources.

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How does it work?

Illegal fishing endangers marine ecosystems and undermines regulatory efforts, but vast ocean areas hinder traditional patrols and manual monitoring. AI-based geospatial analytics automate vessel detection, flagging suspicious patterns in near-real time, enabling authorities to target enforcement and reduce illicit activity.

Real-Time Detection: The platform processes satellite and AIS data continuously to identify vessels operating without authorization. Instant alerts enable enforcement agencies to respond swiftly and intercept illegal fishing activities.
High-Precision Analytics: AI algorithms analyze vessel movement patterns and metadata to distinguish fishing behavior from transit. This reduces false positives and prioritizes high-risk targets for patrol assets.
Extensive Coverage: Combines data from multiple satellites to monitor remote and expansive maritime zones. This ensures no area remains unchecked, closing gaps in traditional surveillance methods.
Automated Pattern Recognition: Machine learning models recognize anomalous behaviors indicative of illicit fishing, such as loitering in restricted zones. Automated workflows streamline case generation and resource allocation.
Customizable Alerts: Users can set geofences, time windows, and vessel characteristics to tailor monitoring to specific regions or seasons. This flexibility aligns surveillance with regulatory priorities and seasonal fishing patterns.
Integrated Reporting: The platform generates compliance reports with geotagged evidence and time-stamped logs for legal proceedings. Seamless integration with enforcement databases accelerates investigative workflows.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this solution compare to radar patrolling?: AI-based geospatial analytics provide broader coverage and lower operational costs than radar vessels. They leverage satellite constellations to detect vessels beyond line-of-sight, whereas radar requires proximity and high maintenance.
Why is this approach popular among maritime authorities?: Agencies favor AI-driven monitoring for its scalability and consistent detection rates across vast ocean areas. Real-time insights and automated workflows enhance enforcement effectiveness and resource optimization.
What are the limitations of satellite-based detection?: Satellite imagery can be hindered by cloud cover and revisit intervals, potentially delaying detections. Combining multiple satellite sources and AIS data mitigates these gaps but does not eliminate all blind spots.
Can this system replace onboard observers?: While AI analytics augment surveillance, they complement rather than entirely replace human observers. Onboard and aerial patrols remain crucial for evidence collection and enforcement actions following detections.
How does this solution integrate with existing maritime management tools?: The platform supports API integration with vessel monitoring systems and GIS platforms. This interoperability ensures seamless data sharing and unified dashboards for compliance and operations teams.
Are there alternatives to AI-based geospatial analytics for fishing monitoring?: Traditional methods include manual patrols and radar systems, which offer reliable, but costly and limited coverage. Drones and acoustic sensors provide localized monitoring, but lack the scalability of satellite-enabled AI solutions.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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