
Nokia portfolio of industrial applications and devices
Select based on your needs/requirements
Featured applications and devices
Featured applications
Featured Devices
Portfolio
Product types
Application types
Device categories
Industrial use cases
- Anomaly detection
- Asset management
- Connected workers and assets
- Emergency response
- Machine automation
- Quality inspection
- Remote machine control
- Robotic and mechatronic automation
- Site security
- Situational awareness
- Surveillance
- Tracking and positioning
- Training
- Voice, video and messaging
- Worker guidance
- Worker safety
Device usage and features
Underlying technologies
- AI and data analytics
- Alarming
- Autonomous vehicle control
- BLE & BLE AoA
- Cloud connector
- Connectivity & device O&M
- Data visualization
- Gen AI
- GNSS
- Industrial dataOps
- Industrial protocol adaptation
- Machine and process control
- Mixed reality
- OT network security
- PtX & communications
- Radio link aggregation
- RFID
- Video analytics and computer vision
- (-) Video processing
- Visual positioning
- Wireless
- (-) Worker sensing
App business values
Locations
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Portalify SmartView
Short descriptionOutdoor and indoor location tracking and alerts for smartphones
Provides operational teams with indoor and outdoor location tracking for workers using smartphones and other tracking and positioning technologies with a focus on lone worker requirements, like man-down. In case of an emergency, workers can raise alerts and worker location can be shared with operational teams and coworkers to accelerate response. Control room map view shows worker safety emergencies, indoor and outdoor location and work status information.
ManufacturerManufacturerImagePortalify SmartView
Short descriptionOutdoor and indoor location tracking and alerts for smartphones
Provides operational teams with indoor and outdoor location tracking for workers using smartphones and other tracking and positioning technologies with a focus on lone worker requirements, like man-down. In case of an emergency, workers can raise alerts and worker location can be shared with operational teams and coworkers to accelerate response. Control room map view shows worker safety emergencies, indoor and outdoor location and work status information.
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RugGear 5G tablet RG940
Short descriptionThe ruggedized RugGear 5G tablet RG940 weights one kilogram and its size is 27 x 17 x 2 cm. The screen is 10.1 inch. You can operate it with wet hands and gloves as well. It comes with GMS certified Android 13 and it will support major OS upgrades. Thanks to Accelerometer, Gyroscope, Magnetic, Light, Proximity, and Pressure sensors you can deploy applications that increase worker safety. On the rear side there is a high definition 50 MP camera and on the front side a 5 MP camera.
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Smart Mobile Labs Edge Video Orchestration
Short descriptionFast edge video orchestration from many to many sources
Stream video, audio and data with hyper low latency from multiple sources to multiple destinations in real-time. Direct your content where you need it without delay, enabling better decision making to improve safety, productivity, customer experience and efficiency.
ManufacturerManufacturerImageSmart Mobile Labs Edge Video Orchestration
Short descriptionFast edge video orchestration from many to many sources
Stream video, audio and data with hyper low latency from multiple sources to multiple destinations in real-time. Direct your content where you need it without delay, enabling better decision making to improve safety, productivity, customer experience and efficiency.
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SwitchOn
Short descriptionAI powered computer vision
SwitchOn enables the manufacturing industry to ensure product quality and process continuity. It offers accelerated model training, with just 30 minutes, using unsupervised AI resulting in high-precision models, with less than 0.5% false positives.
ManufacturerManufacturerImageSwitchOn
Short descriptionAI powered computer vision
SwitchOn enables the manufacturing industry to ensure product quality and process continuity. It offers accelerated model training, with just 30 minutes, using unsupervised AI resulting in high-precision models, with less than 0.5% false positives.
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