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.<\/p>\n","protected":false},"excerpt":{"rendered":"
Evaluation and validation of the monitored production process against agreed process and quality criteria<\/p>\n
Identification of process weaknesses, anomalies and potential improvement opportunities<\/p>\n
Assessment of the suitability of available data and monitoring infrastructure for AI-based quality assurance or process control<\/p>\n
Recommendations for data acquisition, data processing and further implementation of AI-based monitoring or control methods<\/p>\n
Technical report summarising the analysed process, applied methods, evaluation results, identified limitations and recommended improvements<\/p>\n","protected":false},"featured_media":1954,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[119,122],"product_tag":[105],"class_list":["post-2848","product","type-product","status-publish","has-post-thumbnail","product_cat-factory-level-optimisation","product_cat-human-machine-decision-support","product_tag-czech-republic","first","instock","shipping-taxable","product-type-simple"],"acf":[],"yoast_head":"\n