Monitoring and Quality Evaluation of Production Processes

Inteligent systems for improving production quality, process efficiency or even decreasing production costs, power consumption, and CO2 fingerprint.

AI can be a key technique for improvement of overall performance of production processes. The in-process monitoring of production operations and feedback control of the process parameters provides potential for improving production quality and process efficiency and/or decreasing production costs, power consumption and CO2 fingerprint. We offer initial analyse of the specific customer processes, recommendation of DAQ systems and workflow for data processing and subsequent evaluation and implementation of automatic AI-based quality assurance and process control algorithm.

Benefits for companies:

  • Possibility to monitor and evaluate a variety of technologies and multiple setups of the production process, such as machining processes, additive manufacturing processes, laser-based production processes

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