The PENELOPE Project is on a mission to revolutionize manufacturing by developing a Closed-loop Digital Pipeline for the flexible and modular production of large components. By integrating advanced technologies and methodologies, the project aims to create seamless workflows that enhance efficiency, quality, and adaptability in manufacturing processes.
As part of this initiative, the project continues to foster innovation and collaboration through its comprehensive training sessions.
One recent highlight was the “Manual Data Labelling for Defect Detection Applications” training session, led by Christian Precker from AIMEN Centro Tecnológico. This engaging session covered:
📚 Basic concepts of artificial intelligence (AI)
🖼️ Processing image data for computer vision (CV)
🤖 Running a CV algorithm
👉🏻 If you missed it or want to revisit the key insights, access the session recording here: https://bit.ly/4dtTxXp
Stay tuned for more training opportunities as PENELOPE continues to drive innovation, knowledge sharing, and the transformation of manufacturing processes! 🚀