The Internet of Things on AWS – Official Blog
Category: Artificial Intelligence
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 […]
Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 1 of 3: Preparing training data
Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team Running 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 […]
Improving industrial safety with video analytics, AWS IoT Core, and AWS IoT Greengrass
Industrial customers are increasingly using the AWS Cloud to meet their targets for predictive quality, predictive maintenance, and asset condition monitoring. For more examples, see the Top Use Cases for Industrial IoT Applications ebook. The first of these, predictive quality, is often strongly correlated with the level of safety in an operating environment. In this […]
Your Guide to AWS IoT at NVIDIA GTC 2019
NVIDIA’s GPU Technology Conference (GTC) 2019 is almost here! We don’t want you to miss any IoT content, so in this blog post we’ll share some technical demonstrations that show how emerging technologies, including IoT, edge computing, AI and machine learning, and robotics, will shape our world. In the AWS Booth (#1221) Anomaly Detection in […]
Machine Learning at the Edge: Using and Retraining Image Classification Models with AWS IoT Greengrass (Part 2)
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 […]
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 […]
Using AWS IoT for Predictive Maintenance
The interest in machine learning for industrial and manufacturing use cases on the edge is growing. Manufacturers need to know when a machine is about to fail so they can better plan for maintenance. For example, as a manufacturer, you might have a machine that is sensitive to various temperature, velocity, or pressure changes. When […]
Using Chainer Neural Network Framework with AWS Greengrass ML Inference
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, […]