AI-based monitoring and data analysis can improve the performance, quality and efficiency of manufacturing processes. This service supports in-process monitoring and evaluation of machining, additive manufacturing and laser-based production processes. It includes an initial analysis of the customer’s process, recommendation of suitable data acquisition (DAQ) systems and data-processing workflows, and subsequent evaluation of collected production data. Where appropriate, AI and machine-learning methods can be applied for quality assessment, anomaly detection and process control. The service helps identify process weaknesses and improvement opportunities before implementing automated quality assurance or feedback-control solutions.
Evaluation and validation of the monitored production process against agreed process and quality criteria
Identification of process weaknesses, anomalies and potential improvement opportunities
Assessment of the suitability of available data and monitoring infrastructure for AI-based quality assurance or process control
Recommendations for data acquisition, data processing and further implementation of AI-based monitoring or control methods
Technical report summarising the analysed process, applied methods, evaluation results, identified limitations and recommended improvements
Robot manufacturers, robotic cell providers and system integrators for manufacturing applications