MODIAD: A Framework for Distributed Online Industrial Anomaly Detection
A new framework called Multimodal Online Distributed Industrial Anomaly Detection (MODIAD) is proposed to address limitations of existing methods that are centralized and offline. The framework leverages edge intelligence for distributed model training on continuously generated data from heterogeneous sensors. The work is published on arXiv with ID 2605.23984.
Key facts
- arXiv ID: 2605.23984
- Framework name: MODIAD
- Addresses distributed and online industrial anomaly detection
- Leverages edge intelligence
- Handles multimodal sensor data
- Overcomes centralized and offline limitations
- Published as a cross-type announcement
- Focuses on real-world industrial environments
Entities
Institutions
- arXiv