{"id":46943,"date":"2026-06-17T12:11:08","date_gmt":"2026-06-17T10:11:08","guid":{"rendered":"https:\/\/optit.net\/cosa-facciamo\/casi-duso\/controllo-qualita-predittivo-e-fault-detection-nella-stampa-3d-industriale\/"},"modified":"2026-07-15T17:35:27","modified_gmt":"2026-07-15T15:35:27","slug":"birex","status":"publish","type":"caso-duso","link":"https:\/\/optit.net\/en\/what-we-do\/use-cases\/birex\/","title":{"rendered":"Predictive quality control and fault detection in industrial 3D printing"},"content":{"rendered":"<p>Metal additive manufacturing faces serious challenges around process stability and production costs. During the printing cycle of critical components, micro-defects or anomalies in individual material layers can compromise the structural integrity of the whole part. Without continuous, automated monitoring, non-conformities are only caught once the job is finished, leading to a significant <strong>waste of precious metal materials, time and production capacity<\/strong>.<\/p>\n<p>The challenge lies in the need to <strong>support the human operator in real time<\/strong>: anomalies must be <strong>intercepted layer by layer<\/strong> (<em>slice<\/em>) by processing continuous image streams directly on the machine, turning quality control from traditionally <em>ex-post<\/em> inspection into <strong>predictive, immediate governance<\/strong> of the industrial process.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reducing waste and optimising materials in advanced manufacturing through computer vision and real-time AI orchestration.<\/p>\n","protected":false},"featured_media":46944,"template":"","mercati":[818],"servizi":[932,820],"class_list":["post-46943","caso-duso","type-caso-duso","status-publish","has-post-thumbnail","hentry","mercato-manufacturing","servizio-ai-data-science-accelerator","servizio-custom-solutions"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predictive quality control and fault detection in industrial 3D printing | Casi d&#039;uso | OPTIT<\/title>\n<meta name=\"description\" content=\"Reducing waste and optimising materials in advanced manufacturing through computer vision and real-time AI orchestration.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/optit.net\/en\/what-we-do\/use-cases\/birex\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" 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