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Machine Learningfor Industry 4.0

www.elunic.com

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 improve-ment 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 Outdated, rule-based systems are overwhelmed by ever-increasing data complexity and volume.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.

These models learn the interrelations between different sensor values, to process data and to detect anomalies which a programmer, due to sheer volume and variety, would never be able to teach a machine. The possibility of real-time monitoring enables even unknown problems to be identified in due time and expensive failures to be avoided.

The rapid advancement of specialized hardware for solving AI tasks has now opened the door to economi-cal use in many areas of production. Examples are:

• Predictive Maintenance These models recognize patterns in process data

and operating data to compute the remaining service life of components and machines.

• Quality Improvement Offers object and error detection, e.g. by real-time

processing of live images and video material.

• Optimization of Resources and Supply Chains Companies and suppliers can identify supply chain

bottlenecks at an early stage enabling them to meet deadlines better and to avoid production shutdowns.

Artificial Intelligence -The Brain of the Smart Factory

Machine Learning for Industry 4.0

Why elunic?

• Industry knowledge in mechanical engineering

• Specialized in Machine Learning

• Broad architecture, platform and interface expertise

• Flexible connection to existing infrastructures

• Successful reference projects

Practical ExampleQuality Improvement in Production

Surface inspection, contour and size measurement or position and orientation sensing are just a few exam-ples illustrating the applications of machine vision. Apart from a full range of possible applications, this I4.0 key technology is characterized by its enormous data potential and its versatile operational capabilities.

MACHINE LEARNING | Showcase

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Test loss 0.362 Training loss 0.331

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MACHINE LEARNING | Showcase

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Its system performance is based on hardware optimized specifically for processing image data.

So-called "tensor cores" in combination with brand-new algorithms and cutting-edge technolo-gies make it possible to detect and to locate objects or process errors regardless of their background.

elunic AGErika-Mann-Str 23 80636 MünchenT: 089 / 4161 737 - 30 info@elunic.com www.elunic.com

Consulting, development & integration of your AI projects - all as a one-stop solution.

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:

• Experienced partner for I4.0 & machine learning projects Dozens of medium-sized companies have successfully entered

the I4.0 age with elunic. With its 15 years of experience, the service provider, based in Munich, will also make your digitiza-tion project a success.

• Well connected I4.0 projects succeed in cooperation with manufacturers and

suppliers only. elunic's�network has been benefiting its customers all around and, thus, enables fast decision-making and access to best practices.

• On-Stop Strategy and Platform Provider elunic designs tailor-made I4.0 strategies for its customers.

The in-house software platform allows for quick implementa-tion and rapid project success.