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 38
  • Downloads 0

How To Cite

Vincenza Carchiolo, Mark Phillip Loria, Marco Toja, Michele Malgeri (2018). Real Time Risk Monitoring in Fine-art with IoT Technology. Annals of Computer Science and Information Systems, 17(), 151-158. https://europub.co.uk/articles/-A-567974