Industry 4.0

Our solutions will enhance your embrace of Industry 4.0. Here are some examples:

Industrial quality control

• Solutions for complex, automated quality control tasks that require robust architectures and one-shot learning, including ‘lot size one’ applications
• The latest, most efficient machine learning algorithms, using highly advanced vision and sensing systems of higher complexity, combined with special hardware, to unleash the full power of modern industry 4.0 systems.

Process optimization

• Model-based and data-driven approaches, combined with deep industry expertise, enable adaptive optimized process control in chemical, pharmaceutical, and general process manufacturing industries
• Hybrid knowledge in sensor development complements software innovation by providing access to additional parameters 

Predictive maintenance

• Predicting the status of processes, machines and equipment based on limited and noisy data sets by using state-of-the-art artificial neural networks
• Incorporating condition-based monitoring, anomaly detection and prediction methodology minimizes support requirements

Predictive quality

• Optimizing product quality by using additional information from the production process and the state of the manufacturing equipment.
• Combining inline quality inspection, predictive maintenance, and prescriptive analytics

Robotics and real-time control

• Model building with deep reinforcement learning for real-world applications to establish highly adaptive self-learning and efficient production
• Making complex hardware and tools easily implementable in an industrial environment

Human-machine interaction

• Enabling straightforward cooperation between personnel and equipment, such as cobots, based on one-shot and imitation learning
• Exploring human-centric development alongside the integration of sensors and electronics to enable more natural interaction
• Ensuring the usability of software and algorithms, even for non-experts