Category: Internet of Things

Introduction Machine learning (ML) at the edge requires powerful edge requires powerful edge devices with a unique set of requirements. The availability, safety, and security requirements for the edge differ from cloud since they are located at the customer site, outside the data center, and interface directly with operational technology (OT) and the internet. Since […]

Introduction AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings and factories with the ability to use existing data from multiple sources. AWS IoT TwinMaker uses a connector-based architecture that you can connect data from your own data source to AWS IoT TwinMaker without needing to […]

Introduction Autonomous mobile robots (AMRs) are widely used in many industries like logistics and manufacturing. However, there are various challenges in developing and operating autonomous robots. To develop autonomous robots, a wide range of technologies are required, and the process is complex and time-consuming. Integration with the cloud is also required to develop and operate the robots […]

Introduction Many modern industrial operations require extensive monitoring and real-time decision making for efficiency and safety reasons. To reduce the unexpected network interruption and delay in IoT data processing, edge computing becomes a desirable option for real-time IoT data processing and monitoring. Edge computing is a system of micro computing/storage devices that are installed at […]

Introduction In this second-series blog post, we will continue to showcase a user interface (UI) application at the edge with AWS IoT Greengrass V2, a jointly developed solution by AWS Partner, TensorIoT, and AWS Professional Services. This UI application at the edge contains multiple custom AWS IoT Greengrass V2 components to achieve flexible IoT data […]

Introduction Water is one of the most precious resources needed for the sustenance of life. However, only 2% of the global water supply is suitable for human consumption. The United States Environmental Protection Association (EPA) estimates that 1.7 trillion gallons, roughly 30 percent of all treated water, is wasted every year in the United States. […]

Introduction This post shows you how to set up a clean and efficient development environment for AWS IoT Greengrass. With this environment you can rapidly iterate on your ideas and automate your process to build edge compute systems from scratch. Building a repeatable development environment for edge systems can take a long time. These tools […]

Introduction In working with customers, we often hear of a desired Digital Twin use case to drive actionable insights through what-if scenario analysis. These use cases typically include operations efficiency management, fleet management, failure predictions, and maintenance planning, to name a few. To help customers navigate this space, we developed a concise definition and four-level […]

Introduction Automakers, fleet operators, and automotive suppliers are recognizing the potential of vehicle data to transform their business models and optimize their operations. However, implementing data-driven use cases is often challenging. Proprietary vehicle data formats, high costs of data ingestion and implementation complexity can slow down innovation. AWS IoT FleetWise is a service that makes […]

Introduction In this blog we will show you how to monitor your IoT (Internet of Things) fleet and alert when conditions reach or exceed normal thresholds that you consider to be normal operational limits. We will go through the steps to setup Amazon CloudWatch dashboards based on AWS IoT metrics, create alarms from metrics, and […]