AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing
Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations.
AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations.
Image recognition and localization of objects for the update of a manufacturing digital twin using RGB-D information processed in distinct computation layers (Cloud, Edge, Local).
Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.
A flexible tool able to identify and localize in Real-time the best object to pick in scene with a multitude of overlapped identical objects.
Dezyne is a programming language and a set of tools to specify, validate, verify, simulate, document, and implement concurrent control software for embedded and cyber-physical systems.
A Digital Twin solution that, leveraging a middleware and data analytics module, processes all the data received from shopfloor to identify potential faults.
Data preprocessing, Feature Engineering, Model Development, Evaluation & Selection for Predictive Maintenance in Manufacturing. Part of the development of this asset was supported by the AI REGIO project, which has received funding from the European U...