Real Time Risk Monitoring in Fine-art with IoT Technology

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.