Aware Mate – real-time fatigue and distraction monitor for ship bridges

Aware Mate is ELNAV.AI’s AI-powered fatigue and distraction monitoring system designed for navigational bridges. It transforms traditional Bridge Navigational Watch Alarm Systems (BNWAS) into intelligent, privacy-safe fatigue and distraction detection tools that operate fully offline. Using high-definition cameras and edge AI models, Aware Mate continuously analyzes facial and body cues such as:

·        PERCLOS (percentage of eyelid closure over time),

·        Blink rate and gaze direction,

·        Head pose and posture (e.g., slumping, tilt),

·        Signs or distraction.

The system triggers alerts based on configurable thresholds, offering predictive warning before a watchkeeper becomes dangerously fatigued or distracted. All video is processed locally on a fan-less, marine-grade edge PC, ensuring that no biometric or raw video data ever leaves the ship, in compliance with GDPR and the EU AI Act’s high-risk system requirements.

Aware Mate integrates seamlessly into existing BNWAS installations or can function as a standalone unit.

Key benefits:

·        Enhances safety by predicting and flagging fatigue and distraction before errors occur.

·        Fully offline operation ensures crew privacy and data sovereignty.

·        Designed to meet 2024 EU AI Act and GDPR Article 9(2)(h) compliance.

·        Requires no cloud connection, bandwidth, or crew action to function.

·        Easily retrofitted on any SOLAS-class vessel.

With its focus on real-time human-factor awareness, Aware Mate helps prevent groundings, collisions, and costly incidents—delivering measurable ROI and aligning with growing industry and regulatory demands for AI-enabled safety tools.