Nokia portfolio of industrial applications and devices
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Featured applications and devices
Featured applications
Featured Devices
Portfolio
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Fogsphere
Short descriptionWorkplace safety monitoring using AI
Fogsphere is a state-of-the-art AI platform that transforms traditional CCTV systems into proactive, intelligent solutions. By integrating advanced computer vision, IoT sensor data, and contextual generative AI, Fogsphere delivers a comprehensive suite of safety, security, and operational intelligence solutions to make cities and workplaces more secure, safer and smarter.
Manufacturer
Manufacturer
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Fogsphere
Short descriptionWorkplace safety monitoring using AI
Fogsphere is a state-of-the-art AI platform that transforms traditional CCTV systems into proactive, intelligent solutions. By integrating advanced computer vision, IoT sensor data, and contextual generative AI, Fogsphere delivers a comprehensive suite of safety, security, and operational intelligence solutions to make cities and workplaces more secure, safer and smarter.
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Ipsotek VISuite
Short descriptionEnhanced Situational Awareness
Ipsotek VISuite is a scalable and flexible computer vision platform providing pre-trained and customizable AI models supporting various value propositions and verticals.
Manufacturer
Manufacturer
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Ipsotek VISuite
Short descriptionEnhanced Situational Awareness
Ipsotek VISuite is a scalable and flexible computer vision platform providing pre-trained and customizable AI models supporting various value propositions and verticals.
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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.
Manufacturer
Manufacturer
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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.
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