Anomaly Detector

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Anomaly Detector app provides next-generation anomaly detection and reporting capabilities to monitor temporary and persistent anomalies found within IoT devices.

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    Anomaly Detector offers built-in machine learning-based anomaly detection capabilities to monitor temporary and persistent anomalies within IoT devices and shows how to integrate Novacura Flow to notify alerts to the user. This also allows the user to take control actions by creating fault reports back to IFS Applications 
    The Anomaly Detector API  is used to enable monitoring and detect abnormalities in your time series data without having to know machine learning.
    The algorithm adapts itself automatically identifying and applying the best-fitting models to your data regardless of industry, scenario or data volume.
    Using your time-series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.

    Main Features:

    • Automatic anomaly notification for user
    • Review the prior measurements in both tabular and graphical views
    • View previously created IFS work orders
    • Create new fault report (work order) in IFS Application upon detection

     

     

     

    Publisher

    Novacura Labs

    App Version

    1.0.0

    Flow Version

    6.13 Or Later

    ERP Version

    IFS Applications 10

    Language

    English

    Clients

    Mobile Client, Windows (UWP) Client, Android, iOS, Web Client

    Mode

    Online

    Connectors

    Database, REST Service

    Pricing

    Subscription

    Release date

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