MARTAC Vessels Add AI Vision for Real-Time Detection

The integration allows autonomous craft to identify unlit vessels, overcoming traditional limitations in radar and AIS.

Updated on Oct. 16, 2026 in Robotics

Bold flat-color editorial illustration of an unmanned maritime vessel hull with a geometric sensor mast, evoking advanced AI maritime surveillance technology. — MARTAC has integrated SEA.AI machine vision technology into its autonomous surface vessels, enabling real-time detection of unlit maritime targets. AI Illustration. Upload story photo >

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MARTAC has integrated SEA.AI machine vision into its unmanned surface vessels to improve maritime situational awareness. This announced partnership allows the autonomous craft to classify vessels and obstacles in real time without human review of imagery.

Why it matters

The integration addresses critical blind spots in traditional radar and AIS, which often fail to detect unlit vessels or small craft. This capability supports operations beyond the line of sight for long-duration patrol and security missions.

SEA.AI utilizes electro-optical and thermal sensors to perform AI inference locally at the hardware level. The system classifies object type, proximity, and heading, outputting structured data rather than requiring human analysis of raw imagery.

The players

MARTAC

A Florida-based manufacturer of unmanned surface vessels specializing in high-speed, autonomous platforms for military and security applications.

SEA.AI

An AI firm that provides machine vision systems for maritime situational awareness, currently supporting over 1,300 installations worldwide.

The details

The technology captures visual data through electro-optical and thermal cameras, processing it with localized AI to identify maritime contacts. By moving classification to the sensor level, the system eliminates the need for human operators to view incoming video streams. This approach automates the detection process, identifying targets that might evade conventional radar or Automatic Identification System (AIS) transponders, such as unlit boats or small surface craft.

2018: SEA.AI was established and began its data collection period.
May 2026: The MARTAC T38 Devil Ray completed an 8-day autonomous mission.
13 October 2026: The partnership between MARTAC and SEA.AI was officially announced.

The Tech Race

This integration moves maritime autonomy away from dependence on passive broadcasting systems like AIS. It positions MARTAC vessels to compete for long-duration patrol contracts that demand high-reliability detection in environments where traditional radar is insufficient.

The system enhances security and patrol mission profiles for operators who manage fleets remotely beyond the line of sight. These capabilities extend the operational range of autonomous craft, as demonstrated by the T38 Devil Ray mission which traveled 400 nautical miles from shore.

The takeaway

Autonomous maritime operations are increasingly relying on edge-based AI to solve the limitations of traditional radar for small-craft detection. Observers should track future mission success rates for the T38 Devil Ray as a benchmark for the long-term reliability of this vision-based navigation.