Machine Learning for Industry 4.0
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Machine Learning for Industry 4.0

Machine Learning for Industry 4.0 Digital transformation and user interactions through apps generate valuable usage data. Together with operating data derived from sensors and machines (IIoT), they provide the foundation on which improvement potentials are identified and predictions made. Outdated, rule-based systems are overwhelmed by ever-increasing data complexity and volume. In contrast, self-learning models based on Machine Learning and Deep Learning (AI) are capable of exploiting the full data potentials, even if complexity increases. Why elunic? • Industry knowledge in mechanical...

Practical Example Quality Improvement in Production Its system performance is based on hardware optimized specifically for processing image data. Surface inspection, contour and size measurement or position and orientation sensing are just a few examples illustrating the applications of machine vision. So-called "tensor cores" in combination with brand-new algorithms and cutting-edge technologies make it possible to detect and to locate objects or process errors regardless of their background. Apart from a full range of possible applications, this I4.0 key technology is characterized by its...

elunic AG: I4.0 Competence for SMEs Every company must face the digital transformation trend and make the transition from a traditional machine manufacturer to a software company. The project management should be carried out internally to build up competency in-house. With an experienced I4.0 service provider like elunic, companies can accelerate their digitization process considerably. We also support you in choosing the right technology and the best methodical approach from the wide range of possible options. Successful companies have chosen elunic as their business partner, because: •...