The project is part of a broader strategy for modernizing production lines aimed at exploiting the benefits achievable with the application of the Industry 4.0 paradigm. Machine learning and data sensors’ acquisition techniques were used to develop a distributed control system which includes an advanced mechanical modeling. The project was jointly developed with the University of Pavia and Omron, the latter providing the preview of its iForest technology. The results have been very encouraging and the solution is being applied for revamping various production lines
Requirement: AI algorithm application, ML strategy development in production environment.
Partner: Omron – Enoplastic – Università degli studi di Pavia
Milestones: 2018, manufacturing of the first machine with AI-based controller; 2019: tests; 2020: first line in full production; 2021-22: 20 units scheduled.
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![Force evaluation for different tests in the dancing roller located in the tail of the PVC machine. [STUDY OF THE BEHAVIOUR OF A PVC CAPSULE PRODUCTION SYSTEM WITH THE AID OF A.I.]](http://rebeldynamics.it/wp-content/uploads/2020/05/Img4ai-1024x556.jpg)
![Iterative procedure for the detection of outliers. [APPENDIX 1- Brief overview of the A.I. iForest Evaluation algorithm] STUDY OF THE BEHAVIOUR OF A PVC CAPSULE PRODUCTION SYSTEM WITH THE AID OF A.I. -](http://rebeldynamics.it/wp-content/uploads/2020/05/Img3ai-1024x556.jpg)

