Manual helm steering during critical navigation, such as in ports or narrow channels, poses significant risks. Verbal helm orders can be misinterpreted, leading to errors that have caused catastrophic incidents, like the Costa Concordia disaster. With 33 major casualties and $2.6 billion in damages, human errors in steering remain a major threat to maritime safety.
ELNAV.AI’s Helm Order Monitor provides real-time, automated monitoring of verbal helm orders, reducing the risk of human error. By ensuring the correct execution of orders, the system enhances situational awareness and reduces stress for crew members, minimizing the chances of costly navigation errors and improving overall maritime safety.
- Pilots: –
- Maturity: Development
- Capital raised: 325k €
- Company Valuation: 4 M€
- Open Round: No
The solution leverages cutting-edge automatic speech recognition (ASR) and speech emotion recognition (SER) to monitor helm orders in real time. ELNAV.AI has developed a custom microphone system and advanced machine learning models in collaboration with the Fraunhofer Institute and Audeering. The device seamlessly integrates with ship navigation systems, and is designed to handle multi-accent English commands in high-stress environments, ensuring accurate and timely execution of helm orders.
- Sector: Blue tech
- Country: Croatia
- Nº of workers: 4
