A method and an apparatus for detecting and classifying sounds around a vehicle via neural network machine learning are described. The method involves an audio recognition system that may determine the origin of the sounds being inside or outside of a vehicle and classify the sounds into different categories such as adult, child, or animal sounds. The audio recognition system may communicate with a plurality of sensors in and around the vehicle to obtain information of conditions of the vehicle. Based on information of the sounds and conditions of the vehicles, the audio recognition system may determine whether an occupant or the vehicle is at risk and send alert messages or issue warning signals.


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    Titel :

    КЛАССИФИКАЦИЯ ОКРУЖАЮЩЕГО ЗВУКА ТРАНСПОРТНОГО СРЕДСТВА ЧЕРЕЗ МАШИННОЕ ОБУЧЕНИЕ НА ОСНОВЕ НЕЙРОННЫХ СЕТЕЙ


    Erscheinungsdatum :

    03.04.2019


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Russisch


    Klassifikation :

    IPC:    B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR