AI Data Monitoring Platform
The AI Data Monitoring Platform is an Agentic AI-based system designed to continuously validate, monitor, and improve environmental datasets. It ensures high-quality, trustworthy data for AI applications, digital twins, and data-driven decision-making through automated validation, anomaly detection, and correction mechanisms.
Purpose & Motivation
Modern AI systems heavily depend on the quality of input data. Environmental and IoT sensor datasets often suffer from missing values, inconsistent records, sensor failures, and noisy measurements, which can significantly reduce the reliability of AI models and digital twin applications.
The AI Data Monitoring Platform addresses these challenges by providing an intelligent framework that automatically assesses, monitors, and improves data quality in real time. The system helps researchers and engineers maintain trustworthy datasets while reducing manual data cleaning efforts.
Technical Description
Technologies
- Agentic AI
- Machine Learning
- Data Validation
- Anomaly Detection
- Interactive Dashboards
- Cloud-Based Analytics
Capabilities
- Automated data validation
- Anomaly and sensor failure detection
- AI-based data correction
- Dataset quality assessment
- Multi-agent collaboration
- Real-time dashboards and reporting
Research Context
The demonstrator supports a wide range of research and educational scenarios, including:
- Automated driving functions
- Vehicle lighting control
- Traffic sign detection and recognition
- Distributed ECU communication
- Cloud-assisted vehicle services
- Car2X communication
- Vehicle diagnostics
- Remote monitoring and visualization
Multiple demonstrators can exchange information to investigate cooperative driving scenarios and connected mobility concepts.
Visuals
