Abstract: The present disclosure provides a method and system architectures for carrying out the method of automated marine life object classification and identification utilising a core of a Deep Neural Network, DNN, to facilitate the operations of a post-processing module subnetwork such as instance segmentation, masking, labelling, and image overlay of an input image determined to contain one or more target marine life objects. Multiple instances of target objects from the same image data can be easily classified and labelled for post-processing through application of a masking layer over each respective object by a semantic segmentation network.

Abstract: The present disclosure provides an integrated collection, filtration, and analysis system which is configured to automatically collect fluid samples from a surrounding open water environment, isolate floating particles of a target size range, and perform analysis on the collected particles in-situ. The particles may also be filtered by one or more parameters other than size, and also provided herein is a two-stage vortex filter specially adapted to isolate floating particles of a desired density range from a fluid.

Abstract: Buoy apparatus and buoy control system for identifying an underwater object, and method for identifying an underwater object are disclosed. A buoy apparatus for use underwater, comprises a buoy securely connected to a first end of a rope; a spool structure securely connected to a second end of the rope; a retractable head for engaging the spool structure; and a spool control device for actuating retraction of the retractable head, wherein in response to an instruction from the spool control device, the retractable head disengages the spool structure, and the spool structure releases the rope when the buoy raises toward a surface of water.

Abstract: The present disclosure provides a system for autonomously controlling a fleet of carrier platforms on a water body surface, each carrier platform hosting and being configured to deploy and retrieve one or more sub-carriers for autonomously carrying out operations in a marine environment. The one or more carrier platforms and sub-carriers of the system each have navigation and positioning modules for coordinating movements and are also centrally managed via an intelligent central control system from which the operations of the fleet can be monitored and controlled. The present invention solves the retrieval issue presented by deploying unmanned sub-carriers in complex real-world environments. The invention provides for a modular retrieval system for unmanned sub-carriers.

Abstract: The present disclosure provides a method and system architectures for carrying out the method of automated marine life object classification and identification utilising a core of a Deep Neural Network, DNN, to facilitate the operations of a post-processing module subnetwork such as instance segmentation, masking, labelling, and image overlay of an input image determined to contain one or more target marine life objects. Multiple instances of target objects from the same image data can be easily classified and labelled for post-processing through application of a masking layer over each respective object by a semantic segmentation network.

Abstract: The present disclosure provides an integrated collection, filtration, and analysis system which is configured to automatically collect fluid samples from a surrounding open water environment, isolate floating particles of a target size range, and perform analysis on the collected particles in-situ. The particles may also be filtered by one or more parameters other than size, and also provided herein is a two-stage vortex filter specially adapted to isolate floating particles of a desired density range from a fluid.

Abstract: The present disclosure relates to a system for tracking, locating and retrieving fishing traps at sea, the system comprising a plurality of smart trap units and/or trap companion units in communication with a fishing vessel. The fishing vessel has onboard software for tracking the deployment and retrieval of said units, with the data being recorded and uploaded to a network service offering. The units are configured to assist with retrieval of the traps by comprising one or more releasable buoys that may be deployed after a pre-set time or in response to a command signal.

Abstract: The present invention, in some embodiments thereof, relates to an autonomous cleaning robot adapted to clean and/or disinfect an object or environment comprising of a navigation means to navigate an environment of operation to perform a cleaning and/or disinfection task, a target acquisition means making the cleaning robot is capable of detecting obstacles in its environment or objects or an environment for cleaning and/or disinfection, and a disinfection means to clean and/or disinfect detected object or an environment, the disinfection means being electrostatically operated, whereby a disinfectant in the disinfection means is charged by an electrostatic charge to increase adherence to an object or an environment to reduce the amount of disinfectant used. According to some embodiments, the navigation is autonomous, non-human operated. According to another embodiments, the robot may be coupled to a swarm intelligence via a high speed data link provided therefor.

Abstract: The present invention, in some embodiments thereof, relates to apparatus, system and methods for image distortion correction when scanning/imaging an air-water interface (AWI), or any such interfaces between two media including air and glass, among others. According to one embodiment, the apparatus comprises of a means of scanning a mean water level, and twos canners, wherein is set slightly above the water surface, and one positioned just below, with the scanners having an intersecting view of the AWI. A suitably trained machine learning algorithm recognizes key features from both the above-water and underwater scans, determines distortion from the AWI, make a correction of the distortion and automatically stitch the distortion-corrected scans together. According to another embodiment, the resulting single complete, accurate, and high-density point cloud of all surface profiles in, around, and below the AWI area.

Abstract: The current invention, in some embodiments thereof, relates to a tow unit 1 and image acquisition apparatus (or ‘platform’, or ‘the platform’) 2. The tow unit comprises of an attachment mechanism 10, provided for the attachment of the cabling 3. The cabling 3 comprises of a tow ball 4, typically immersed in water in the water body 5. Further in the same figure is an image acquisition apparatus 2 with an attachment means or mechanism 20, provided for the attachment of the cabling 3 and by extension, the tow unit 1.

Abstract: The present invention solves the foregoing problems by providing a control system comprising a remote control module in wireless communication with a cable reel module connected to a motor operated cable reel. Advantageously, the remote control module comprises a first user interface for entering instructions and a processor for transmitting the instructions to the cable reel module to extend or retract the cable and thus control the ascent or descent of an ROV attached to the cable. Due to the processor-controlled nature of the control system automated operations of ROV ascent and descent can be realised. Furthermore, the cable reel module itself is provided with a second user interface that can enact a manual override and emergency stop of the ROV motion in the event that the remote control aspect malfunctions or is being operated incorrectly.

Abstract: The present invention discloses an improved system of monitoring logistics involved in marine transportation. The proposed system with the help of data acquisition component, humidity control component, temperature control component, power component, microcontroller, and user device automatically regulate the required temperature and humidity level within preset threshold and also transmits the information to the user's device. This system also allows to add additional sensors and environmental control components including but not limited to ambient light, vibration, sound, movement, oxygen, chemical levels, and more. The system also provides a communication interface coupled to the onboard micro controller, where the communication interface being operative to transmit a monitoring update message to end user device, in response to a transmission instruction from the onboard microcontroller.

Abstract: In the breeding of aquatic products, keeping track of changes in the water quality environment is an urgent aquaculture problem to be solved. At present, single sensors are often used for data detection, and there is no coordination between the sensors or between sensors and actuators, resulting in a lack of a unified monitoring and control mechanism. The current invention discloses a holding tank monitoring system based on a wireless sensor network and a monitoring method provided thereof characterized by an unattended operation and automated execution by obtaining environmental data of a holding tank in real-time, and analyzing the data using a suitably trained machine learning algorithm and causing a control action on the actuator to perform a corrective action on the holding tank for optimal operation of the system.

Abstract: Buoy apparatus and buoy control system for identifying an underwater object, and method for identifying an underwater object are disclosed. A buoy apparatus for use underwater, comprises a buoy securely connected to a first end of a rope; a spool structure securely connected to a second end of the rope; a retractable head for engaging the spool structure; and a spool control device for actuating retraction of the retractable head, wherein in response to an instruction from the spool control device, the retractable head disengages the spool structure, and the spool structure releases the rope when the buoy raises toward a surface of water.