Category: Artificial Intelligence

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Abstract Embedded edge devices with multi-sensor data sources are proliferating at an accelerating rate. Devices must be designed, manufactured, installed, connected, and controlled through seven distinct logical layers to securely connect […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. In particular, we described a Digital Twin leveling index to help customers understand their use cases and the technologies needed to achieve the business value they are seeking. This Digital […]

Every day, we hear from our customers about the desire to implement Digital Twins to improve operations, product offerings, and business value delivered to their own end customers. The concept of twins is not new and dates back to the early days of the space program. The Apollo 13 mission in the 1960s is an […]

In this two-part blog post, we propose an AWS IoT AI/ML solution to help our industrial customers for efficiently monitoring industrial assets in a scalable manner. Part 1 of the blog shows: How to create an asset simulator with AWS IoT SiteWise; How to create data pipeline to integrate Amazon Lookout for Equipment with AWS […]

Customers that manage and maintain industrial assets strive to keep them functioning as efficiently as possible, which they can do by monitoring and analyzing the health of their assets. Plant operators measure efficiency with key performance indicators (KPIs) like overall equipment effectiveness (OEE) or mean time before failure (MTBF) and act to improve these metrics […]

Introduction Our homes contain everything from dust, cooking fumes, and chemicals released from paint, furniture, and cleaning agents. Add to that polluted outdoor air making its way into our homes through ventilation, and you’ve got a cocktail of toxins floating around between your four walls. Clean air has proven positive health benefits. It can provide […]

Organizations with large numbers of assets need to monitor their physical and operational health, in order to detect issues and act upon them. This post covers the use case of a fictitious industrial organization AcmeDrone that uses drone devices to inspect assets periodically such as infrastructure components like valves, oil/gas pipelines or power transmission lines, […]

AWS IoT Greengrass Version 2 was released for general availability during re:Invent 2020. AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, […]

At AWS, we build technology to help customers and partners like Bose, Vizio, LG, British Gas Centrica Connected Home, Ayla, NXP, and more solve real world problems and unlock possibilities to create better business outcomes and new consumer experiences. Yesterday, IoT World named AWS IoT the “Best Consumer IoT Solution” for 2020. We are grateful to […]