Image Defect Detection Model Collection
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
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.
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
Machine Learning and Deep Learning models to detect anomalies using time series data.
Model able to generate a production plan for a week given a set of orders that minimizes the monetary loss .
It is a service for defect detection and defect localization in hard metal industry
EurekAD is a service for anomaly detection in Industrial time series data.
This module ensures that the data used for AI model operations respects some pre-defined quality criteria.
This component manages the lifecycle of AI models and monitors their performance across different deployment environments.
The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physic...
OpenManufacturing ontology extends the OpenML ontology that contains classes for representing different aspects of machine learning. OpenManufacturing extends the base ontology adding two main classes and three taxonomies representing elements relevant to...