
Nokia portfolio of industrial applications and devices
Select based on your needs/requirements
Featured applications and devices
Featured applications
Featured Devices
Portfolio
Product types
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Industrial use cases
- Connected workers and assets
- Situational awareness
- Worker safety
- Anomaly detection
- (-) Asset management
- Emergency response
- Site security
- Tracking and positioning
- Energy management
- Digital library
- Digital twin
- Machine automation
- Physical access control gate
- Quality inspection
- Remote machine control
- Robotic and mechatronic automation
- Surveillance
- Worker guidance
Usage and features
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Nokia Integrated Operations Center
Short descriptionDigital operations platform for IIoT
Simplify operations for an increasingly complex connected digital world. Provides a single pane of glass to intelligently control and manage a variety of IoT and non-IoT data sources, systems, applications and analytics engines, while enhancing end to end operational efficiency. With robust model driven AI/ML platform capabilities and a complex rule engine to drive automated processes, the IOC brings true actionable intelligence to digital operations. It can be deployed on the Nokia MX Industrial Edge (MXIE), thus enabling use cases that require high availability and reliability.
ManufacturerManufacturerImageNokia Integrated Operations Center
Short descriptionDigital operations platform for IIoT
Simplify operations for an increasingly complex connected digital world. Provides a single pane of glass to intelligently control and manage a variety of IoT and non-IoT data sources, systems, applications and analytics engines, while enhancing end to end operational efficiency. With robust model driven AI/ML platform capabilities and a complex rule engine to drive automated processes, the IOC brings true actionable intelligence to digital operations. It can be deployed on the Nokia MX Industrial Edge (MXIE), thus enabling use cases that require high availability and reliability.
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DataSentics Quality Inspector
Short descriptionComputer vision platform
Implement a quality control solution that is quick to deploy, thanks to the prepared models that are tailored to the specific scenario. Leverage the high-precision use cases, that can be integrated into existing set ups or delivered as an end-to-end solution. Running on the Nokia MX Industrial Edge provides additional benefits reducing time to market and increasing availability of applications.
ManufacturerManufacturerImageDataSentics Quality Inspector
Short descriptionComputer vision platform
Implement a quality control solution that is quick to deploy, thanks to the prepared models that are tailored to the specific scenario. Leverage the high-precision use cases, that can be integrated into existing set ups or delivered as an end-to-end solution. Running on the Nokia MX Industrial Edge provides additional benefits reducing time to market and increasing availability of applications.
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Litmus Edge
Short descriptionIIoT 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.
ManufacturerManufacturerImageLitmus Edge
Short descriptionIIoT 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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