SeeSAFE is a suite of systems integrating advanced software, based on proprietary algorithms, including state of the art electronic sensors and devices. It consists of three specialized modules: SeeSAFE:ADAS, SeeSAFE:FODS, and SeeSAFE:FRED. When ADAS and FODS are used together, safer high speed cruising at night or in conditions of poor visibility becomes possible. SeeSAFE:FRED is a standalone product. At this time, SeeSAFE:ADAS and SeeSAFE:FODS have capabilities that are unique to the entire boating industry.

Advanced Driver Assist System
Assisted and Driverless Docking and Mooring
Floating Object Detection System
Long-Range Detection of Dangerous Floating Debris
Face Recognition to Drive
3D Face Recognition for Access Control

SeeSAFE:ADAS and FODS, when used together, allow high speed cruising at night or in conditions of poor visibility. FRED, on the other hand, is a standalone product. At this time, SeeSAFE:ADAS and SeeSAFE:FODS have unique capabilities in the whole boating industry.

The SeeSAFE Modules: In-Depth

Secure Docking and Mooring

SeeSAFE:ADAS is a driving system devised to help the captain or pilot of a vessel while docking and mooring. It is available in two stages:

Stage 1 ADAS is an advanced system for assisted docking and mooring, aiding the captain during the approach phase by providing a 360° view of the surrounding environment, thus avoiding the need for human assistance during these delicate maneuvers. The system works by generating the vessel’s trajectory in real time as a response to the commands issued from the wheelhouse, and building a visual scene around it, including the sea zones under board, otherwise blind.

Stage 2 ADAS is a completely autonomous (“driverless”) driving system for the vessel. It is built on Stage 1 ADAS, to which it adds the capabilities provided by integrating the data from onboard sensors with a dynamic positioning system, now widely available on medium to large size boats. Dynamic positioning systems automatically control the position and heading of a vessel by using thrusters that are constantly active to balance the environmental forces (wind, waves, current) that tend to shift the vessel away from the desired position. Stage 2 ADAS drives the DP system to direct the vessel along the trajectory generated by Stage 1 ADAS.

Vessel Trajectory Analysis and Forecasting for Docking and Mooring

SeeSAFE:ADAS is an artificial vision system capable of operating both in daylight and at night, thanks to its integrated set of radar vision cameras (millimeter radars are especially helpful in unfavorable weather conditions) as well as photonic stereo cameras. SeeSAFE:ADAS employs our proprietary software system for location and contextual mapping of a vessel as it moves within a virtual reconstruction of the surrounding environment. Several technologies derived from robotics and virtual vision are employed within our design.

The software runs on an NVIDIA Drive PX2 system that can:

  • process the data acquired in real time by the sensors and devices installed on the vessel;
  • compute a series of complex, proprietary algorithms that simulate the reaction of the vessel to the driving commands, while “observing” the space all around it.

ADAS is thus able togenerate and update, in real-time:

  • a realistically detailed virtual 3D scene of the environment where the vessel is moving, including the under board and blind corners produced by the shape of the boat’s body;
  • a visual scene of the trajectory to be followed by the vessel according to the driving maneuvers, including color-coded danger zones.

SeeSAFE:FODS (Floating Objects Detection System) is a system for automatic detection of semi-floating objects at sea.  When properly installed on a vessel, it enables the detection of large scale marine debris at distances of up to 500 meters during navigation, under any visibility conditions. By triggering an alarm sound in real time, SeeSAFE:FODS allows the captain to initiate emergency procedures, either automatic or manually controlled, to avoid otherwise likely or inevitable collisions.

Secure Navigation

Onboard radar equipment cannot detect floating objects, because their emerging portion is usually small, flat, and often intermittently submerged by waves. Therefore, during nighttime travel or under poor visibility conditions, vessels are forced to reduce cruising speed to well under 10 knots, in order to limit possible damage from the resulting collisions. Due to its contained size, SeeSAFE:FODS is easily housed together with the radar, even within the same enclosure. By enabling the crew to detect dangerous environmental situations well in advance, and to take the proper corrective measures accordingly, it makes a higher cruising speed possible for the vessel. When SeeSAFE:ADAS is utilized during regular cruising alongside with SeeSAFE:FODS, it enables driverless cruising at higher speeds even at night, or under conditions of poor visibility. SeeSAFE:FODS is covered by patent.

Technical Details

In order to achieve angular accuracies within 1° or better when detecting floating objects at sea, proper consideration to the following factors must be given:

  • Water absorption rises sharply at both ends of the visible spectrum;
  • Fog, haze, mist, rain, and wave movement play a large role in the  absorption of electromagnetic waves above sea level, rendering both  radar and sonar essentially useless.

To overcome those obstacles, SeeSAFE:FODS uses a laser beam emitter coupled with specialized cameras and a stabilizing inertial platform to compensate for the boat’s movements. This setup is able to detect floating objects with high accuracy in real-time, at ranges of up to 500m. Proprietary software then allows SeeSAFE:FODS to compute the exact distance and relative position of the object detected, in real time.

Security On Board

SeeSAFE:FRED is a personal identity control system based on 3D facial recognition, capable of:

  • Provides a hierarchical authorization system for the control of personal presence on-board any vessel.
  • Discriminates between crew and passengers, forwarding information about access or presence of humans on board or near the vessel to the captain and ship-owner, wherever they happen to be.
  • Full control over the operation of commands in the wheelhouse and commands of servo mechanisms, which allows:
  • Selective access to reserved areas and locations, based on user roles, enabling only authorized individuals to operate certain commands, subsystems, and devices that could compromise passenger security;
  • Only authorized individuals to remotely operate automated openings onboard by means of a simple, predefined hand-waving gesture, without the need to touch the handle or the unlocking device.
  • On cruising ships, SeeSAFE:FRED can be used to prevent access to unauthorized individuals during stopovers, and to verify that all passengers who went ashore are back in time before departure.
  • SeeSAFE:FRED makes fraud from badge replacement, theft, or manipulation impossible.
Technical Details

In its typical configuration, SeeSAFE:FRED is composed of:

  • A master station (Linux server) equipped with a 5.1" IP65 touchscreen LED/LCD monitor to manage enrollment and relative authorizations; this master station can be installed in the most conducive position for operation (console, wheelhouse, control post).
  • A set of high resolution mini video cameras, equipped with a customized telephoto lens and a 4 megapixel CMOS sensor, to produce good quality images even in low light conditions (down to 0.5 lux), so that the system can work both in daylight and at nighttime.
  • These video cameras are placed in the areas under control, to detect presence and facial features of the individuals trying to gain access to  and operate the vessel’s commands.
  • An alarm system warns of any anomalous situation detected, employing various transmission networks (radio, GSM, SigFox, others). All anomalies are logged by the system, to be analyzed by control personnel at their convenience.
  • When an attempt to break in is detected, the captain or the ship owners are promptly warned of the situation either on the master station or on their smartphone with an image of the face of the perpetrator.
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