Machine-learning solutions for industrial automation and process control

The growing amount of sensor data in industrial automation can only be beneficial with adequate methods and algorithms for data analysis. The Pattern Recognition Company is developing data driven solutions for improving the production processes in the steel industry. 

Machine learning techniques are used to increase the reliability of the data, to make predictions, and to optimize the relevant production parameters.

Applications

Our systems are used for process optimisation in various industries, such as

• steel processing (hot rolling)
• printing industry
• automotive

Key Features

We provide algorithms to

• validate the integrity of the process data
• automatically identify essential system states
• group the data automatically
• predict the outcome of processing steps competely data-driven
• assist in the optimisation of processing schedules