{"id":10319,"date":"2025-01-23T09:57:50","date_gmt":"2025-01-23T07:57:50","guid":{"rendered":"https:\/\/aire-edih.eu\/?post_type=project&p=10319"},"modified":"2025-06-27T11:01:53","modified_gmt":"2025-06-27T08:01:53","slug":"2024-adaptive-digital-twin-of-custom-robotics-system-for-validation-of-the-anomaly-detection-algorithms","status":"publish","type":"project","link":"https:\/\/aire-edih.eu\/en\/project\/2024-adaptive-digital-twin-of-custom-robotics-system-for-validation-of-the-anomaly-detection-algorithms\/","title":{"rendered":"2024: Adaptive Digital Twin of custom robotics system for validation of the anomaly detection algorithms"},"content":{"rendered":"

The project aimed to address the challenge of limited real-time monitoring and safety in CNC manufacturing by testing dashboard solutions and camera-based anomaly detection. Activities focused on <\/span>validating<\/span> the effectiveness of real-time parameter tracking and AI-driven safety alerts. While the digital twin concept was explored, a full implementation was not achieved, and several hypotheses <\/span>remain<\/span> untested. The project successfully <\/span>demonstrated<\/span> the feasibility of certain technologies and <\/span>established<\/span> a scalable user interface concept, providing a strong basis for further development and future integration into manufacturing environments.<\/span><\/span>\u00a0<\/span><\/p>\n

github<\/span><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

The project aimed to address the challenge of limited real-time monitoring and safety in CNC manufacturing by testing dashboard solutions and camera-based anomaly detection. Activities focused on validating the effectiveness […]<\/p>\n","protected":false},"featured_media":10669,"template":"","year_tax":[86],"company_tax":[170],"status_tax":[92],"university_tax":[90],"sector":[167],"project_cat":[65],"class_list":["post-10319","project","type-project","status-publish","has-post-thumbnail","hentry","year_tax-2024-en","company_tax-5-0-robotics","status_tax-completed-projects","university_tax-taltech-en","sector-production-monitoring","project_cat-completed-projects"],"acf":[],"yoast_head":"\nAIRE - 2024: Adaptive Digital Twin of custom robotics system for validation of the anomaly detection algorithms<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aire-edih.eu\/en\/project\/2024-adaptive-digital-twin-of-custom-robotics-system-for-validation-of-the-anomaly-detection-algorithms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AIRE - 2024: Adaptive Digital Twin of custom robotics system for validation of the anomaly detection algorithms\" \/>\n<meta property=\"og:description\" content=\"The project aimed to address the challenge of limited real-time monitoring and safety in CNC manufacturing by testing dashboard solutions and camera-based anomaly detection. 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