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Welcome to the AI REDGIO 5.0 Edge AI Reference Implementations for Industry 5.0

A compilation of reference implementations of Edge AI models and assets in manufacturing business cases, coming from open-source initiatives, the AI REDGIO 5.0 partners’ background and experience, but also complemented by specific Edge AI models and pipelines created in the AI REDGIO 5.0 project to address concrete problems on which the experiments focus.

Getting started

• In the Landscape Analysis you can find all the background research on areas adjacent to Edge AI and Industry 5.0
• The AI Reference Implementations section contains existing useful material compiled by the AI REDGIO 5.0 to help you kickstart your manufacturing AI experiments
• All AI REDGIO 5.0 Enabling Tools at your disposal for trial and use

Asset Categories

Find assets based on the categories of your interest

AI Algorithm Types Anomaly Detection Collaborative Intelligence / Human-in-the-Loop Computer Vision Deep Learning Edge AI Expert Systems Fuzzy Control Machine Learning Scheduling	AI Problem Predictive Maintenance Preventive Maintenance Process Monitoring Process Optimisation Quality Control Resource Planning Safety Waste Reduction	AI Purpose Autonomous Driving Cobots Fault Detection Generic Purpose IoT Machine Vision MLOps / AIOps Object Recognition Security
Asset Type Dataset Docker Container Executable Jupyter Notebook Kubernetes Device Plugin Library Model Open Hardware Project Software-as-a-Service Source Code Theoretical Foundations Tutorial	Deployment Cloud-based Edge

Latest

The latest assets added to our reference AI implementations portfolio

1. AI REDGIO 5.0 Smart Data Enabler
2. AM Tomography Image Processing Algorithm
3. Tabular-data Rehearsal-based Incremental Lifelong Learning Framework (TRIL3)
4. Cream Cheese Production and Quality Dataset
5. Acceleration Datasets

About AIREDGIO 5.0

Visit the official AI REDGIO 5.0 website to find out more about the project.