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Nokia portfolio of industrial applications and devices

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    Nokia Visual Position and Object Detection

    Short description

    Tracking and positioning

    Respond to hazards and emergencies more quickly, improve operations, and improve situational awareness with this tag-less tracking and positioning solution.  Nokia Visual Position and Object Detection can leverage existing camera systems and can be trained to detect anything without being intrusive.  Every industry can benefit from tracking and positioning solutions because it helps enterprises understand how to navigate a campus, how automated machines execute tasks and which paths they follow, how the ecosystem operates, how hazards and emergencies can be avoided or in case of such an event, how to react and locate those in need rapidly.  

    Manufacturer
    Nokia
    Manufacturer
    Nokia
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    Nokia Visual Position and Object Detection

    Short description

    Tracking and positioning

    Respond to hazards and emergencies more quickly, improve operations, and improve situational awareness with this tag-less tracking and positioning solution.  Nokia Visual Position and Object Detection can leverage existing camera systems and can be trained to detect anything without being intrusive.  Every industry can benefit from tracking and positioning solutions because it helps enterprises understand how to navigate a campus, how automated machines execute tasks and which paths they follow, how the ecosystem operates, how hazards and emergencies can be avoided or in case of such an event, how to react and locate those in need rapidly.  

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    Crosser

    Short description

    IIoT edge platform

    Connect, integrate and analyze operational data in real-time to provide many industrial use cases. Real-time streaming analytics and integration with automated workflows, low code development and the ability to bring your own algorithm capabilities enables many industrial use cases. Connect to 800+ industry systems with pre-built connectors for edge to cloud data flows and pipelines and facilitate digital twins by creating live loops of streaming data between connected devices and cloud for applications such as condition monitoring.

    Manufacturer
    Partner logo
    Manufacturer
    Partner logo
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    Crosser

    Short description

    IIoT edge platform

    Connect, integrate and analyze operational data in real-time to provide many industrial use cases. Real-time streaming analytics and integration with automated workflows, low code development and the ability to bring your own algorithm capabilities enables many industrial use cases. Connect to 800+ industry systems with pre-built connectors for edge to cloud data flows and pipelines and facilitate digital twins by creating live loops of streaming data between connected devices and cloud for applications such as condition monitoring.

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    Litmus

    Short description

    IIoT edge platform

    Put data to work for operations to transform at scale. Litmus, the Industrial EdgeOps platform that Unlocks.Activates.Scales. Litmus unifies data collection, normalization, contextualization, and analytics at the edge and cloud. Litmus unlocks intelligence to improve efficiency, profitability and security. Nearly 300 pre-built device drivers and integrations for OT assets and enterprise systems, along with digital twin and machine learning models, make it easier to address asset monitoring, anomaly detection, energy consumption, forecasting, predictive maintenance and more.

    Manufacturer
    Litmus
    Manufacturer
    Litmus
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    Litmus

    Short description

    IIoT edge platform

    Put data to work for operations to transform at scale. Litmus, the Industrial EdgeOps platform that Unlocks.Activates.Scales. Litmus unifies data collection, normalization, contextualization, and analytics at the edge and cloud. Litmus unlocks intelligence to improve efficiency, profitability and security. Nearly 300 pre-built device drivers and integrations for OT assets and enterprise systems, along with digital twin and machine learning models, make it easier to address asset monitoring, anomaly detection, energy consumption, forecasting, predictive maintenance and more.

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