A system for real-time target identification of an unmanned aerial vehicle (UAV) based on an embedded technique and an improved YOLO4 algorithm, and relates to the field of real-time target detection is disclosed. The system for real-time target identification of a UAV based on an embedded technique and an improved YOLO4 algorithm abandons a conventional “one-to-one” mode, and can be used for a plurality of UAV data processing applications, and multiple users in different geographical locations can further remotely manage and control the system. Particularly, in a target identification client of the present disclosure, to obtain a better real-time identification effect, a YOLOv4 target identification algorithm is improved, so that a better identification result and a faster identification speed are obtained.


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    Titel :

    SYSTEM FOR REAL-TIME TARGET IDENTIFICATION OF UNMANNED AERIAL VEHICLE BASED ON EMBEDDED TECHNIQUE AND IMPROVED YOLO4 ALGORITHM


    Beteiligte:
    HUANG FANG (Autor:in) / CHEN SHENGYI (Autor:in) / PENG SHUYING (Autor:in) / CHEN YINJIE (Autor:in)

    Erscheinungsdatum :

    2024-03-07


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / B64C AEROPLANES , Flugzeuge / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze




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