Autonomy is on the horizon. ELNAV.AI ensures we get there safely.
Projects
Helm Order Monitor
A real-time safety system designed to eliminate miscommunication between helmsmen and navigators during critical navigation phases.
Maritime disasters like the Costa Concordia and Exxon Valdez revealed a crucial gap: inaccurate helm command execution. Helm Order Monitor solves this by combining automatic speech recognition with sensor data to verify helm orders as they’re given—instantly and continuously.
On top of that, it uniquely integrates speech emotion recognition to monitor vocal stress patterns on the bridge—providing early, real-time warnings when cognitive overload could compromise safety.
Whether onboard or in nautical simulators, Helm Order Monitor enhances both operational safety and training precision.
Think of it as a “lane departure warning system” for ships—continuously safeguarding navigation when it matters most.
Aware Mate
Aware Mate is an AI-powered system that brings modern fatigue and distraction detection to maritime watchkeeping. Unlike traditional BNWAS—with dormant periods up to 12 minutes—Aware Mate delivers continuous, real-time monitoring to catch reduced alertness before it becomes a hazard.
Fatigue contributes to up to 25% of marine casualties, with many incidents linked to distraction. IMO reports that 1 in 4 seafarers has fallen asleep while on watch.
Using infrared facial and eye-tracking, Aware Mate detects early signs of drowsiness under any lighting. It also flags distraction by identifying non-watchkeeping-related items—like phones—when the officer’s gaze remains fixed on them too long.
Seamlessly integrating with BNWAS, Aware Mate adds proactive vigilance and cognitive safety to the bridge—reducing risk across maritime and inland waterways.
Project Sentinel
AI-powered underwater gliders — the speed cameras of the sea
Illegal oily discharges and sewage dumps happen mostly at night, beyond the reach of satellite spotters. Sentinel gliders change the game: like traffic speed cameras, they patrol shipping lanes 24/7, automatically sample the water in a ship’s wake, and record violations the moment they occur.
Each bright-yellow glider cruises for months below the surface, using advanced sensors and onboard AI to detect oil, chemicals and sewage. When contamination is found, the glider pops up, beams the evidence to authorities in seconds, and then dives back to its silent watch.
Real-time proof, zero blind spots—making polluters pay, not the ocean.
More in development
From the press
Helm Order Monitor is the first of its kind technological solution to the problem of insufficient monitoring of helm orders between helmsman and pilot or navigator onboard ships. We are fixing this problem with an electronic device that combines automatic speech recognition and data from the ship’s sensors.
ELNAV aims to make navigation at sea safer. I spent thirty years in the merchant marine. During that time, I noticed that there was still a lot to be gained when it came to safety at sea. That is why I founded Elnav, which is part of the ICT Županija ecosystem. Through Elnav, I developed the Helm Order Monitor. This is a system that prevents many of the human errors that occur in the manual steering of ships, thereby increasing safety levels during navigation.
Many accidents at sea are due to errors in communication between seafarers. An automatic voice monitoring system for the ship’s bridge will ensure greater safety. With the speech recognition system and support from Fraunhofer IDMT in Oldenburg, Germany, ELNAV, a start-up company based in Split, Croatia, is developing what it calls a »Helm Order Monitor«.
Human error accounts for 75% of marine liability losses
While huge strides continue to be made in improving marine safety, human error remains, by far, the most important factor in marine liability claims and losses, according to Allianz Global Corporate & Specialty (AGCS) in its Global Claims Review: Liability in Focus.
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