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Authentise, a leader in data-driven workflow tools for additive manufacturing, and Addiguru, provider of affordable and practical real-time monitoring solutions for Additive Manufacturing, have announced the extension of the Authentise Manufacturing Execution System (AMES) to include real-time process monitoring powered by Addiguru with a computer vision and artificial intelligence (AI) based solution.
The integration of Authentise with Addiguru will provide a seamless experience for users who are seeking to gain practical use from their additive machine monitoring systems. Alerts from the Addiguru algorithms create real-time notifications within the Authentise web interface and app, display images highlighting potential issues, and visually spotlight the alert within the full workflow view. The full data suite of images and findings is automatically added to the real-time traceability alert and in a new analytics section for each machine and build. This includes the ability to overlay detected anomalies with sensor data taken from Authentise’s unique access to machine data. Each user can also use this data to create custom alerts, reports and dashboards.
“Existing in-process monitoring tools either require the user to have spent days setting up trial prints or to click through every image to detect potential flaws. The combination of our AI-driven …
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