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.
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.
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.
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, labelling, and image overlay of an input image determined to contain marine life objects.
The present invention solves the issues presented by traditional methods of underwater trapping. The invention is able to allow communication between the trap and the user, and provides for a smart float system, unlocking a range of applications.
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.
G08B 5/00 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges
G08B 5/02 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant uniquement une transmission mécanique
G08B 5/32 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique avec élément indicateur à déplacement rectiligne
7.
A SWARM INTELLIGENCE-BASED AND NOVEL AI-DRIVEN AUTOMATED DISINFECTION VEHICLE(ADV) SYSTEM
Here we present a novel AI-driven disinfectant system. The system will have one or more cleaning agent spraying robots connected with our data link to a remote operation center. By utilizing an electrostatic disinfectant solution with our precise AI-driven robot, we can greatly reduce the amount of cleaning agent used while avoiding omissions to the environment and targeting objects or surfaces that pose a higher risk of contamination. In our current experimental environment, one remote operator can sit comfortably in the remote operation center, visualize and directly manage four of our prototype robots running on autopilot mode and monitor their progress. A fleet of 4 robots will cover a total area of 40,000 square meters per hour, using 120 liters of 5% sodium hypochlorite solution, a high-level disinfectant used in hospitals. All camera and sensor feeds are transmitted in real-time to the remote operation center with < 0.5-second latency to minimize machine error and ensure safe and efficient operation. In addition to the outstanding hardware performance, the robot is equipped with an onboard high-performance AI-processing unit running multiple deep learning algorithms, together with a high-speed data link connecting back to a cluster of AI-processing servers. This not only allows us to use AI-driven algorithms to automate operations for precise and complete sanitization but also has a remote operator step in at any time. We believe our solution provides a comprehensive, smart, and efficient way of sanitizing a large and complex public area, creating a healthier and safer environment.
A61L 2/00 - Procédés ou appareils de désinfection ou de stérilisation de matériaux ou d'objets autres que les denrées alimentaires ou les lentilles de contactAccessoires à cet effet
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.
A47L 11/40 - Éléments ou parties constitutives des machines non prévus dans les groupes , ou non limités à un de ces groupes, p. ex. poignées, dispositions des interrupteurs, bords, amortisseurs ou leviers
A47L 11/00 - Machines à nettoyer les planchers, les tapis, les meubles, les murs ou leurs revêtements
The present invention solves the issues presented by the presence of an air- water interface in the scanning of an object. The invention is able to generate accurate, high-density surface profiles scans of objects located within, above, and below an air-water interface while minimizing or removing distortion.
G01B 21/20 - Dispositions pour la mesure ou leurs détails, où la technique de mesure n'est pas couverte par les autres groupes de la présente sous-classe, est non spécifiée ou est non significative pour mesurer des contours ou des courbes, p. ex. pour déterminer un profil
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