/ 
The widespread use of connected systems on board pleasure craft is moving towards increasingly autonomous and intelligent devices. Montpellier-based Nauticoncept now offers an enhanced version of its Nauticoncept NauticSafe the new system features on-board artificial intelligence data processing. The system is designed to change practices in remote monitoring, predictive maintenance and navigation incident management.
On-board AI that adapts to boat behavior
The heart of the technological evolution lies in the integration of a data analysis module capable of running locally in other words, without permanent dependence on the cloud. This self-learning on-board intelligence continuously analyzes navigation parameters to identify unusual behavior. Automatic learning takes place on a boat-by-boat basis, enabling the detection of shocks or abnormal maneuvers to be refined over time.
A second model, this time centralized in the cloud, completes the analysis by cross-referencing the data with environmental parameters (weather, tides, wind, marine cartography). This hybrid architecture enables continuous improvement of the algorithms and exploitable feedback for fleet managers.
Detection of strandings and danger zones
In addition to shocks, on-board AI contributes to identify grounding situations in navigation. This capability is based on the simultaneous analysis of GPS position, surface speed and environmental data. The challenge is to pinpoint incidents and build up a history that can be used in the event of a claim or loss.
The system can also be used to map recurring danger zones, by cross-referencing them with the reported positions of incidents or anomalies. This type of field feedback is of interest to rental base managers and insurance managers, who can direct their preventive actions.
Batteries: from remote monitoring to predictive maintenance
Energy management remains a critical issue on board, particularly on vessels with high electrical requirements. The NauticSafe box now incorporates a advanced battery condition analysis system . By monitoring voltage trends, the algorithm identifies early signs of wear or failure.
This predictive monitoring is based on the detection of recurring patterns of abnormal voltage over time. The aim is to avoid both dockside and underway failures, which are still frequent on intensive rental fleets. The system is designed to adapt to different battery types and energy architectures.
Automatic generation of incident reports
In the event of a critical event, the box is capable of generating a structured incident report these reports include navigation data, parameters measured at the time of the anomaly, and an automated interpretation. These reports are designed to facilitate the work of experts commissioned by insurance companies or owners, by providing objective information on the user's behavior or the circumstances of the incident.
This component is part of a reduce litigation and clarify responsibilities particularly for professional fleets.
A device designed for both professional and private use
Nauticoncept's approach is designed to meet the needs of both rental companies who benefit from better fleet rotation and optimized intervention management, than those of the individual homeowners looking for a reliable remote monitoring system. On the insurers the system provides tools for qualifying claims, making it possible to objectify usage.
