MODULAR DEPLOYMENT AND RETRIEVAL SYSTEM FOR UNMANNED SUB-CARRIERS

    公开(公告)号:US20220187830A1

    公开(公告)日:2022-06-16

    申请号:US17547499

    申请日:2021-12-10

    IPC分类号: G05D1/02 G05D1/00 G08G3/00

    摘要: 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.

    Method and System for Automated Identification and Classification of Marine Life

    公开(公告)号:US20220164570A1

    公开(公告)日:2022-05-26

    申请号:US17533224

    申请日:2021-11-23

    摘要: 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.

    SYSTEM AND METHOD OF SMART HEALTH MONITORING

    公开(公告)号:US20220096008A1

    公开(公告)日:2022-03-31

    申请号:US17474190

    申请日:2021-09-14

    摘要: A system and method of smart health monitoring comprises an attachable device having a microcontroller and circuitry, and an external processing device, for effectively predicting the vital health signs of the aquatic animals. The attachable device employs an imaging device and a plurality of sensors to collect the plurality of vital health signs of the aquatic animal. The attachable device is attached on a targeted area of the aquatic animal under measurement. The smart health monitoring system and method of the present invention utilizes the machine learning models to generate a medical model of the individual aquatic animal to obtain more accurate vital health signals.