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Automating visual inspections in production11-50 Employees
  • Early Stage
    Startup in initial stages
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Automating visual inspections in production
deevio is deep learning applied to industrial quality control. We use images of good and defect products from our customers to train a deep learning model that is best suited to support the workers in their visual inspection tasks. The deep learning model is then deployed on specific hardware, our AI box, that can easily be plugged in to an industrial camera and is ready to be used in factories.

Additionally, we offer real-time data analytics from the production lines to provide relevant and actionable insights for decision makers in manufacturing.

To make this happen, we use state-of-the-art deep learning methodologies for both, supervised and unsupervised learning combined with machine vision engineering.
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Tassilo Glander
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Co-founder of deevio.ai, transforming industrial quality control with deep learning.
donato montanari
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Result-oriented entrepreneur with a unique combination of start-up spirit, operational effectiveness and technical expertise in AI, IoT and imaging.
Damian Heimel
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Co-founder of deevio.ai, transforming industrial quality control with deep learning. Worked @wattx and studied @Ludwig-Maximilians-Universität München
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