A stowable propulsion system for a marine vessel. A base is configured to be coupled to the marine vessel. A shaft has a proximal end and a distal end with a length axis defined therebetween, where the shaft is pivotably coupled to the base and pivotable about a transverse axis between a stowed position and a deployed position, and where the distal end is closer to the marine vessel when in the stowed position than in the deployed position. A gearset is engaged between the shaft and the base, where the gearset rotates the shaft about the length axis when the shaft is pivoted between the stowed position and the deployed position. A propulsion device is coupled to the distal end of the shaft. The propulsion device is configured to propel the marine vessel in water when the shaft is in the deployed position.

According to the present disclosure, a nautical drift managing device is provided. The nautical drift managing device includes an input circuitry to receive destination position information for a watercraft. Further, the nautical drift managing device includes a sensor circuitry to obtain external force information associated with the watercraft. Furthermore, the nautical drift managing device includes processing circuitry to determine, based on the destination position information and the external force information, a drift line associated with a drifting movement of the watercraft when an engine of the watercraft is stopped or neutral.

According to the present disclosure, a nautical drift managing device is provided. The nautical drift managing device includes an input circuitry to receive destination position information for a watercraft. Further, the nautical drift managing device includes a sensor circuitry to obtain external force information associated with the watercraft. Furthermore, the nautical drift managing device includes processing circuitry to determine, based on the destination position information and the external force information, a drift line associated with a drifting movement of the watercraft when an engine of the watercraft is stopped or neutral.

Methods and apparatus for monitoring windlass rotation are provided to determine the real time rate and length of rode release when anchoring a boat. The rotation can be monitored in real time using directional sound and/or electromagnetic radiation receivers and/or transmitter in a module attached to the windlass. Another windlass module can monitor windlass rotation using micro-electromechanical systems (MEMS) components such as accelerometers, magnetometers, gyroscopes, and/or inertial measurement units (IMU) to sense motion and/or position.

Methods and apparatus for monitoring windlass rotation are provided to determine the real time rate and length of rode release when anchoring a boat. The rotation can be monitored in real time using directional sound and/or electromagnetic radiation receivers and/or transmitter in a module attached to the windlass. Another windlass module can monitor windlass rotation using micro-electromechanical systems (MEMS) components such as accelerometers, magnetometers, gyroscopes, and/or inertial measurement units (IMU) to sense motion and/or position.

A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.

A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

A position locating system to locate relative position information between a marine vessel and a trailer includes a laser scanner on a first object, that is one of a marine vessel and a trailer for the marine vessel, to reciprocatingly scan a predetermined range in a horizontal direction with laser light, a laser light receiver on a second object, that is the other of the marine vessel and the trailer, to receive laser light emitted from the laser scanner, and a position locator configured or programmed to locate relative position information between the marine vessel and the trailer based on light receiving timings when the laser light emitted from the laser scanner is received by the laser light receiver.