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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT FREE CHAPTER 2. Connecting IoT Devices to AWS IoT Platform 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 9. Other Books You May Enjoy

Making image and video analysis


In this section, we learn how to analyze image and video. Machine learning can perform pattern recognition for a picture or a video. The result of machine learning analysis can be object detection or image analysis.

For instance, I have a still image; this image is analyzed using machine learning. It shows some identified objects, such as human, brick, clothing, and coat. You can see it in the following image. This process is done using Amazon Rekognition

In this section, we focus on how to use Amazon Rekognition to analyze image and video. Setting and configuring will be performed in the next section.

Introducing Amazon Rekognition

Amazon Rekognition is one of the Amazon services that is part of Amazon Machine Learning. You just register and activate your AWS account on this services. Amazon Rekognition can perform object and scene detection, image moderation, facial analysis, celebrity recognition, face comparison, text in image analysis, and video analysis...

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