Category: AWS IoT Greengrass

Note: For latest guidance on asset monitoring, please refer to this blog instead. The Industrial Internet of Things (IIoT) presents an unparalleled opportunity for every industry to address core business challenges, such as reducing downtime, improving safety, increasing system output, reducing operating costs, and creating innovative services and business models. In this blog post, I […]

In part 1 of this blog post, we created an image classification model for a recycling facility’s sorter to identify four beverage containers. We deployed it to our AWS IoT Greengrass Core device using the new AWS IoT Greengrass Image Classification connector. AWS IoT Greengrass connectors, announced at this year’s re:Invent, make it possible for […]

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 […]

Note: This blog covers AWS IoT Greengrass version 1, which has stopped receiving updates, fixes, and security patches since June 30, 2023. AWS IoT Greengrass Version 2 is a major update to the core software, APIs, and console that improves upon V1 with modular applications, better fleet device deployments, and expanded platform support. Learn more […]

The blog post references AWS IoT Analytics, which is no longer available to new customers and will end support on December 15, 2025. For implementation guidance and alternatives, see the service migration support section at the end of this article. The interest in machine learning for industrial and manufacturing use cases on the edge is […]

Starting today, Greengrass ML inference includes a pre-built Chainer package for all devices powered by Intel Atom, NVIDIA Jetson TX2, and Raspberry Pi. So, you don’t have to build and configure the ML framework for your devices from scratch. With this launch, we now provide pre-built packages for three popular machine learning frameworks including TensorFlow, […]

Shane Baldacchino is a Solutions Architect at Amazon Web Services. Customers have been asking how compute at the edge can be coupled with AWS services to advance maintenance maturity in their organization. In this blog post, we will examine maintenance maturity through the lens of something very common: elevators. We will show how you can […]