According to the present invention, provided is a drone image automatic recognition system, which comprises a drone equipped with a camera module which can photograph and store images, and an image processing server which receives image data from the drone and separates obstacles. The camera module can store the photographed image data in the image processing server, utilize a convolution neural network (CNN) based on deep learning to extract features of the image data, classify obstacles based on the features of the image data to generate classification data, and use Dense Hog + SVM to verify an area of the classification data.

    본 발명에 따른 드론 영상 자동인식 시스템은, 영상을 촬영하여 저장할 수 있는 카메라 모듈이 구비된 드론, 상기 드론으로부터 영상데이터를 수신하여 지장물을 분리하는 영상 처리 서버, 카메라 모듈이 촬영한 영상 데이터를 영상 처리 서버에 저장하고, 딥러닝 기반 CNN(Convolution Neural Network)을 활용하여 영상 데이터의 특징을 추출하고, 영상 데이터의 특징을 기초로 지장물을 분류하여 분류 데이터를 생성하고, Dense Hog + SVM을 이용하여 분류데이터의 영역을 검증할 수 있다.


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    Title :

    AUTOMATIC RECOGNIZING SYSTEM FOR DRONE IMAGE


    Additional title:

    드론 영상 자동인식 시스템


    Contributors:

    Publication date :

    2020-06-05


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G03B APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM , Geräte oder Anordnungen zum Aufnehmen, Projizieren oder Betrachten von Fotografien / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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