Systems and methods for using image analysis techniques to assess abnormal vehicle operating conditions are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle. Based on the depicted individuals(s) and optionally on other data, the computing device may determine that an abnormal condition exists. In response, the computing device may generate a notification and transmit the notification to an electronic device of an individual associated with the vehicle.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Image analysis technologies for identifying abnormal vehicle conditions


    Beteiligte:
    LI YUNTAO (Autor:in) / ZHANG DINGCHAO (Autor:in) / MYERS JEFFREY S (Autor:in)

    Erscheinungsdatum :

    2020-09-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme



    Image analysis technologies for identifying abnormal vehicle conditions

    LI YUNTAO / ZHANG DINGCHAO / MYERS JEFFREY S | Europäisches Patentamt | 2022

    Freier Zugriff

    Image analysis technologies for identifying abnormal vehicle conditions

    LI YUNTAO / ZHANG DINGCHAO / MYERS JEFFREY S | Europäisches Patentamt | 2023

    Freier Zugriff

    Image analysis technologies for identifying abnormal vehicle conditions

    LI YUNTAO / ZHANG DINGCHAO / MYERS JEFFREY S | Europäisches Patentamt | 2019

    Freier Zugriff

    IMAGE ANALYSIS TECHNOLOGIES FOR IDENTIFYING ABNORMAL VEHICLE CONDITIONS

    LI YUNTAO / ZHANG DINGCHAO / MYERS JEFFREY S | Europäisches Patentamt | 2022

    Freier Zugriff

    Processing method for identifying abnormal driving behavior of vehicle

    ZHANG CAN / LI FENG / ZHANG SHENGXI et al. | Europäisches Patentamt | 2023

    Freier Zugriff