FEDTWIN–trustworthy digital twin as a service for visually impaired

Abstract

The Industrial Internet of Things (IIoT) revolutionize industries such as manufacturing, logistics, energy, and healthcare by merging smart sensors and devices with sophisticated network connectivity and advanced data analysis. Digital Twin As a Service (DTaaS) for Internet of Healthcare Things (IoHT) in the healthcare industry opens exciting opportunities to create virtual replicas of real healthcare systems and assets. Digital twins relying on cloud platforms, such as Amazon Web Services, Microsoft Azure, and Google Cloud, provide several vital capabilities, including data informed decision making, personalized patient simulation, up to 30% decrease in equipment downtime with predictive maintenance, and operational efficiency of more than 25% through real-time remote monitoring. This paper proposes an all encompassing methodology towards the development and deployment of compositional digital twins utilizing services applied towards assisting the visually challenged with a smart stick. Federated learning has been proposed as one potential approach that could help in preserving the privacy of clients, particularly concerning the protection of patient's confidential information. One of the possible healthcare scenario that demonstrates how digital twin technology guiding visually impaired individuals, with a possible enhancement in the success rate of mobility by 40%.