After achieving significant success and growth, the company is broadening its horizons. It announces the launch of new intelligent navigation functions, including autopilot and cruise control.
BlueNav’s mission
BlueNav’s main objective is to facilitate the transition to all-electric navigation. Thanks to this innovative solution, boat hybridization is much simpler. BlueNav helps boat owners and the maritime sector to adopt more sustainable boating habits.
La technologie, appelée BlueSpin, est un moteur électrique sans moyeu central qui s’intègre en complément des moteurs à combustion. Il s’adapte aux bateaux de 8 à 15 mètres de long. Ce système innovant offre trois options d’intégration. Il s’installe directement dans la coque du bateau (Inhull). Il peut être monté facilement sous la coque (Stationary). Mais il peut aussi se fixer au tableau arrière du bateau (Outboard). En conséquence, il offre une flexibilité et des options d’installation simples.
The rise of automation in Smart Navigation
Today, automation is taking hold in the boating world. BlueNav is launching new Smart Navigation technologies within its HMI (Human Machine Interface).
Thanks to a Smart Navigation system with autopilot and cruise control. BlueNav continues its commitment to simplifying navigation for all.
“These intelligent tools are already used in the automotive and marine industries, and are therefore in tune with users’ needs and expectations. It’s a relevant tool to accompany them in the transition from the world of combustion to that of electric.”
Hervé FROUIN, founder and CTO of BlueNav.
Advanced features
To overcome the complexities of manual steering, the HMI will effortlessly maintain the boat’s course and speed. The interface will give users total control over their navigation. It will provide a smoother, stress-free navigating experience.
Smart Navigation: an integrated system
BlueSpin technology features an intelligent interface to support users. The HMI provides real-time data analysis. These provide the navigator with information on energy consumption and performance optimization.
It provides key indicators such as efficiency, current and drift. An intuitive color code provides instant feedback on environmental conditions.
“We’re using machine learning to automatically adapt to the boat’s hull and inertia. The next step will be to maintain course, as well as implement automatic obstacle avoidance.”
Hervé FROUIN.
