AI EDEM Platform

Follow the flow of Intelligence

AI EDEM Platform

Follow the flow of Intelligence

Where Innovation meets real-world AI

EdgeAI-Trust explores the deployment of trustworthy Edge AI across three strategic industries: automotive, manufacturing, and agriculture.
Within each sector, the project is structured into supply chains that bring together technology providers, research partners, and industrial stakeholders. Each supply chain hosts demonstrators where Edge AI solutions are developed, validated, and tested in real-world operational environments.

Mobility

Edge AI for connected mobility, intelligent perception, and advanced driver assistance systems.

Supply Chain 1: EdgeAI hardware and software technology

Demonstrator 1: Diverse redundant object detection

Demonstrator 2: Low-level AI methods

Demonstrator 3: AI-based Road Surface Detection & Classification at the Edge

Demonstrator 4: ODD and hardware-aware AI synthesis methodology

Supply Chain 2 – EdgeAI Infrastructure and Orchestration

Demonstrator 1: Flexible processors and software for heterogeneous automotive platform

Demonstrator 2: Real-time dataflow programming framework for autonomous vehicles

Supply Chain 4 – Knowledge-guided validation and optimization of a decentralized AI system

Demonstrator 1: Decentralised ODD Completion and Gathering of Edge AI data

Demonstrator 2: State of health electrical systems

Supply Chain 5 – Automated Vehicles

Demonstrator 1 and 2: Battery-electric commercial vehicle Energy Management System (EMS)

Manufacturing

Edge intelligence for predictive maintenance, quality control, and smart industrial monitoring.

Supply Chain 3 – Assurance frameworks for decentralized Edge AI trustworthiness

Demonstrator 1: Injection Moulding

Demonstrator 2: Explain while driving shall be replaced by Fuel Cell Pressure Prediction

Demonstrator 3: Accountability and Liability driven by Event identity graphs

Supply Chain 6 – Decentralised energy-aware EdgeAI for reliable harvesting-powered monitoring

Demonstrator 1: Valve Monitoring

Demonstrator 2: Optical Quality Control

Agriculture

AI-driven monitoring and automation to support sustainable and precision farming practices.

Supply Chain 7 – Agriculture domain specific system design for decentralized edge AI

Demonstrator 1: Federated Learning for Advanced Frape Quality Assessment

Demonstrator 2: Collaborative AI-based Cyber Physical Systems for Champagne Production

Where Innovation meets real-world AI

EdgeAI-Trust explores the deployment of trustworthy Edge AI across three strategic industries: automotive, manufacturing, and agriculture.
Within each sector, the project is structured into supply chains that bring together technology providers, research partners, and industrial stakeholders. Each supply chain hosts demonstrators where Edge AI solutions are developed, validated, and tested in real-world operational environments.

Mobility

Edge AI for connected mobility, intelligent perception, and advanced driver assistance systems.

Supply Chain 1: EdgeAI hardware and software technology

Demonstrator 1: Diverse redundant object detection

Demonstrator 2: Low-level AI methods

Demonstrator 3: AI-based Road Surface Detection & Classification at the Edge

Demonstrator 4: ODD and hardware-aware AI synthesis methodology

Supply Chain 2 – EdgeAI Infrastructure and Orchestration

Demonstrator 1: Flexible processors and software for heterogeneous automotive platform

Demonstrator 2: Real-time dataflow programming framework for autonomous vehicles

Supply Chain 4 – Knowledge-guided validation and optimization of a decentralized AI system

Demonstrator 1: Decentralised ODD Completion and Gathering of Edge AI data

Demonstrator 2: State of health electrical systems

Supply Chain 5 – Automated Vehicles

Demonstrator 1 and 2: Battery-electric commercial vehicle Energy Management System (EMS)

Manufacturing

Edge intelligence for predictive maintenance, quality control, and smart industrial monitoring.

Supply Chain 3 – Assurance frameworks for decentralized Edge AI trustworthiness

Demonstrator 1: Injection Moulding

Demonstrator 2: Explain while driving shall be replaced by Fuel Cell Pressure Prediction

Demonstrator 3: Accountability and Liability driven by Event identity graphs

Supply Chain 6 – Decentralised energy-aware EdgeAI for reliable harvesting-powered monitoring

Demonstrator 1: Valve Monitoring

Demonstrator 2: Optical Quality Control

Agriculture

AI-driven monitoring and automation to support sustainable and precision farming practices.

Supply Chain 7 – Agriculture domain specific system design for decentralized edge AI

Demonstrator 1: Federated Learning for Advanced Frape Quality Assessment

Demonstrator 2: Collaborative AI-based Cyber Physical Systems for Champagne Production

Months

Partners

Budget

EU Countries

Voices of EdgeAI-Trust: Partner Perspectives

virtual vehicle

smart universal

eliniko mesogeiako panepistimio