Category: Internet of Things

Feed: The Internet of Things on AWS – Official Blog. Author: moroserg. Solution providers operating environments such as smart building, utilities, manufacturing systems, and connected products offer business-to-business services often based on IoT platforms deployed in multitenant deployments. Securely managing those resources by use case, types, locations and by tenants can sometime be hard.Creating hierarchical grouping of things is a common pattern, but it does not address multitenancy well. For instance, the same tenant might rent offices in several cities and share some buildings with other tenants, and this cannot be captured by creating hierarchical groups. On the other hand, ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Anthony Pasquariello. This post covers the use case of an organization creating voice-enabled features for its customers. The example use case is building a smart hotel environment that allows hotel guests and employees to use voice commands to control devices within hotel rooms. Throughout this post, we focus on the integration between Amazon Alexa, Amazon API Gateway, AWS Lambda, and AWS IoT Core.The following are potential use cases for which a smart hotel might choose to build: Hotel staff voice commands “Alexa, tell smart hotel skill to reset room ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Varshith Dondapati. AWS IoT customers manage a large number of industrial assets which send sensor data to the cloud. The smooth operation of these assets is critical to the productivity of their plants, since any equipment breakdown can lead to unexpected downtime and require expensive recovery maintenance. The ability to predict such failures and respond to them in a timely manner can help industrial users improve operational efficiency and total uptime. In this post, we describe how AWS IoT users can use AWS IoT Events to deploy an integrated ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Asim Kumar Sasmal. Post by Asim Kumar Sasmal, Senior Data Architect in the IoT Global Specialty Practice of AWS Professional Services and Saras Kaul, Senior Product Manager of AWS IoT SiteWise. [Before reading this post, read Part 1 and Part 2 in the series.] In Part 1 of this series, you learned how to model and ingest data from industrial sites in a secure, cost-effective, and reliable manner using AWS IoT SiteWise (in preview). In Part 2, you learned how to monitor key measurements and metrics of your assets in near-real time ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Asim Kumar Sasmal. Post by Asim Kumar Sasmal, Senior Data Architect in the IoT Global Specialty Practice of AWS Professional Services and Sourav Chakraborty, Senior Product Manager of AWS IoT SiteWise. [Before reading this post, read Part 1 in the series.] In Part 1 of this series, you learned how to model and ingest data from industrial sites in a secure, cost-effective, and reliable manner using AWS IoT SiteWise (in preview). In Part 2 (this post), you learn how to: Monitor key measurements and metrics of your assets and take necessary actions ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Asim Kumar Sasmal. Post by Saras Kaul, Senior Product Manager of IoT SiteWise, Asim Kumar Sasmal, Senior Data Architect, and Mark Gilbert, Senior Consultant in the IoT Global Specialty Practice of AWS Professional Services. Industrial customers have been looking for a secure, cost-effective, and reliable field-to-cloud solution that does the following: Ingests all their data from hundreds of industrial sites that have tens of thousands of PLCs and sensors Visualizes key measurements and metrics for the devices, processes, and equipment in near-real time Enables condition monitoring and send notifications and alerts in near-real ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Angela Wang. Post by Angela Wang and Tanner McRae, Senior Engineers on the AWS Solutions Architecture R&D and Innovation teamThis post is the third in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In previous 2 parts of the series, we walked you through preparing training data and training a custom object detection model using the built-in SSD algorithm of Amazon SageMaker. You also converted the model output file into a deployable format. In this post, we take the ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Angela Wang. Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation teamThis post is the second in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In part 1 of this series, we walked through the training data preparation process: capturing video, extracting and selecting frames, and using Amazon SageMaker Ground Truth to label the images. In this post, you prepare the output from the SageMaker Ground Truth labeling job ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Angela Wang. Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation teamRunning computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running it at the edge has become easier than ever.  The blog post Using and Retraining Image Classification Models with AWS IoT Greengrass shows an example of running image classification models on AWS IoT Greengrass. In ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Martin Sirull. AWS IoT Device Management has a breadth of tools that enable businesses to build  IoT applications for every industry. However, when it comes to remote access to devices, that typically has involved a customer sending a control message either through a MQTT topic, or updating the device’s shadow and then having the device agent take action on those messages. This has meant that the hardware development teams have needed to explicitly build those specific control capabilities into the devices’ firmware.Device management outside of these pre-configured flows has been especially ... Read More