Dyrecta Lab ha presentato alla conferenza internazionale organizzata dalla IEEE i seguenti lavori dal titolo:
- “Inline Image Vision Technique for Tires Industry 4.0: Quality and Defect Monitoring in Tires Assembly”
- “Sensing and Quality Monitoring Facilities Designed for Pasta Industry Including Traceability, Image Vision and Predictive Maintenance”
- “A Preliminar Research Industry Project: a Case of Study defining Requirements for Knowledge Base Gain and Technological Upgrade in Industry Working in Train Parts Processing and Testing”
- “Advanced Process Defect Monitoring Model and Prediction Improvement by Artificial Neural Network in Kitchen Manufacturing Industry: a Case of Study”
- “A Decision Making Process Model based on a Multilevel Control Platform Suitable for Industry 4.0”
I lavori, accettati dalla comunità scientifica della IEEE, dimostrano come i casi di studio di Ricerca Industriale con integrazione della IoT e delle facilities di Industria 4.0 possano rientrare nei canoni della ricerca del “Manuale Frascati”, seguendo opportune metodologie scientifiche.
