
Nokia portfolio of industrial applications and devices
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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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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.
ManufacturerManufacturerImageIpsotek 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.
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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