dimetra.eu
Asset Type
As a Service
Dimetra.eu: Banana Crown Rot Predictor
An AI consultant to predict Crown Rot (CR) disease in bananas before shipment.
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Asset Type
Jupyter Notebook
AI REGIO Supervised Learning for Multivariant Time Series Forecasting
A Jupyter Notebook demo to demonstrate the partial content of FZI asset "Process integrated feedback management" which uses the historical multivariant time series data from a simulative robot manipulator to predict data in the future time steps based on ...
Asset Type
As a Service
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.
Asset Type
Docker container
AI REGIO Intelligent Computer Vision for Digital Twin
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).
Asset Type
ML Model
Mooring DBSCAN
An implementation of the DBSCAN algorithm,that extracts mooring places out of AIS messages. Package also includes methods to analyze extracted clusters.
Asset Type
ML Model
AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement
Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.
Asset Type
ML Model
AI.REGIO - Supervised real-time 2D-based Object Detection System
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.
Asset Type
Executable
Dezyne
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.
Asset Type
Executable
AI REGIO Industrial Faults Predictive Maintenance (IFPM)
A data analytics module that, leveraging Machine Learning techniques, processes all the data received from shopfloor to identify potential faults.
Asset Type
Jupyter Notebook
Predictive Maintenance using Machine Learning
Data preprocessing, Feature Engineering, Model Development, Evaluation & Selection for Predictive Maintenance in Manufacturing.