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

Service description

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.
Expected results: – Validation of system performance, – highlighting weakness and suggesting possible improvement
Methodology: – IoT Edge Intelligence: intelligent embedded sensors and systems for condition monitoring – Combination of real time data analysis (AI/machine learning) and big data analysis – IoT hardware kits design and prototyping
Target: Industrial plant Provider

Enhance your manufacturing
project with AI technologies