Nokia portfolio of industrial applications and devices
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Featured applications and devices
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Nokia Drone Networks
Short descriptionNokia Drone Networks is an unmanned aircraft system (UAS) platform, optimized for automated operations in private wireless 4G and 5G networks. It is is designed and assembled in Finland, ensuring a transparent supply chain and unparalleled quality assurance.
Its main components are an industrial grade UAV (unmanned aerial vehicle) and docking station for automation of flight activities. The system is delivered with an edge cloud-based flight management system software for controls as well as software interfaces that can be utilized for automated operations. The dual gimbal camera has integrated RGB and thermal videos. The drone can also be equipped with other payloads such as loudspeakers, search lights or customizable sensors for smoke, motion, radiation and more, by utilizing the Nokia payload development kit. The solution is equipped with state-of-art onboard safety functions.Manufacturer
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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.
Manufacturer
Manufacturer
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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.
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