Monitoring and quality evaluation of production processes (machining processes, additive manufacturing processes, laser-based production processes)

AI can be a key technique for improvement of overall performance of production processes. The inprocess 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 algorythm.