Real Time Risk Monitoring in Fine-art with IoT Technology
Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 17, Issue
Abstract
This work presents a bespoke system used to monitor inter-modal logistics within the fine arts industry. A custom IoT architecture provides end-to-end capabilities allowing continuous risk assessment during storage, handling, transport and exhibition. The system overcomes the challenges of implementing adaptive artificial intelligence systems, extra low latency and exceptional power efficiency within a fully integrated IoT architecture. The main contribution of this paper lies in the architecture that has been fully implemented and commercialized to international leading companies.
Authors and Affiliations
Vincenza Carchiolo, Mark Phillip Loria, Marco Toja, Michele Malgeri
Keywords
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- EP ID EP567974
- DOI 10.15439/2018F221
- Views 53
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