The Internet of Things on AWS – Official Blog

Tag: Amazon SageMaker

Synadia builds next generation pill verification systems with AWS IoT and ML

U.S. prescription medications costs are approaching $500 billion a year and growing up to 7% annually, according to a House Ways and Means Committee report. In this market, billions of dollars in unused medicines are still wasted annually due to traditional packaging that usually contains more pills or tablets than those prescribed by physicians. Automated pill […]

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Detect scene changes in remote areas with AWS IoT Events and Amazon SageMaker

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, […]

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Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 2 of 3: Training a custom object detection model

Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 2 of 3: Training a custom object detection model

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team This 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 […]

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Machine Learning at the Edge: Using and Retraining Image Classification Models with AWS IoT Greengrass (Part 1)

With the introduction of the AWS IoT Greengrass Image Classification connector at this year’s re:Invent, it has become easier than ever to use image classification at the edge through AWS IoT Greengrass. Because it is software that lives on a local device, AWS IoT Greengrass makes it possible to analyze data closer to the source […]

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