Tuesday, May 21, 2024
HomeHeadlinesAmazon Debuts IoT TwinMaker and FleetWise

Amazon Debuts IoT TwinMaker and FleetWise

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Amazon had launched its new Amazon Web Services (AWS) IoT TwinMaker for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. Alongside, the company had debuted AWS IoT FleetWise, a cost effective service for automakers to collect, transform, and transfer vehicle data to the cloud in near-real time.

AWS IoT TwinMaker provides the tools developers need to build digital twins to help you optimise building operations, increase production output, and improve equipment performance. It has the ability to use existing IoT, video, and enterprise application data where it already lives—without needing to reingest or move the data to another location.

With AWS IoT TwinMaker, Amazon says developer can use built-in connectors or create own connectors to easily access and use data from a variety of data sources, such as equipment sensors, video feeds, and business applications.

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It comes with a plug-in for Grafana, a popular open-source dashboard and visualisation platform from Grafana Labs. The plug-in provides custom visualisation panels, including a 3D scene viewer and dashboard templates, as well as a data-source component to connect to digital twin data, allowing to quickly create 3D-enabled applications for specific needs.

Amazon’s IoT FleetWise enables customers to access standardised fleet-wide vehicle data without the need to develop custom data collection systems. AWS IoT FleetWise enables easy transfer data to the cloud in near-real time using the service’s intelligent filtering capabilities.

It comes with automaker tools to remotely diagnosing issues in individual vehicles, analysing vehicle fleet health to help protect against warranty claims and recalls, and improving autonomous driving and advanced driver assistance systems with analytics and machine learning.

“Automakers start in the AWS management console by defining and modeling vehicle attributes (e.g., a two-door coupe) and the sensors associated with the car’s model, trim, and options (e.g., engine temperature, front-impact warning, etc.) for individual vehicle types or multiple vehicle types across their entire fleet. After vehicle modeling, automakers install the IoT FleetWise application on the vehicle gateway (an in-vehicle communications hub that monitors and collects data), so it can read, decode, and transmit information to and from AWS,” reads the company statement.

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