An aerial monitoring system and method for identification and location of object features is disclosed. The aerial monitoring system and method includes training an image processing engine to identify predefined object features in images. Training involves the image processing engine generating a model for identifying predefined object features in images. Identifying the predefined object features includes using a drone outfitted with a drone camera to capture and geotag monitoring images of target objects. The monitoring images are both infrared and non-infrared. The image processing engine applies the model to the monitoring images to determine whether the monitoring images include object features that fit within one of multiple categories. The image processing engine uses a fuzzy clustering process to group objects into cluster locations. The image processing system outputs the identification and location of the object features. The output is used for maintenance planning related to the objects. oo0 C~.J co


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    Titel :

    AERIAL MONITORING SYSTEM AND METHOD FOR IDENTIFYING AND LOCATING OBJECT FEATURES


    Beteiligte:
    SHAH KETAN (Autor:in) / KUMAR CHANDAN (Autor:in) / RAWAT SANJAY (Autor:in)

    Erscheinungsdatum :

    2020-08-27


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B64C AEROPLANES , Flugzeuge / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze



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