In this tutorial, you will learn how to use the video analysis features in Amazon Rekognition Video using the AWS Console. Amazon Rekognition Video is a deep learning powered video analysis service that detects activities and recognizes objects, celebrities, and inappropriate content.

As a developer, analyzing video is a challenge you will face if you are developing a video cataloging system or creating an application to provide sentiment analysis. This challenge can be solved by building your own machine learning model, however this option is time-intensive, expensive, and requires machine learning expertise.

Amazon Rekognition Video provides an easy-to-use API that offers real-time analysis of streaming video and facial analysis. This fully-managed, API-driven service enables developers to easily add visual analysis to existing applications.

In this tutorial, you will use Amazon Rekognition Video to analyze a 30-second clip of an Ultimate Frisbee game. Analyzing video automatically extracts rich metadata, which can be used to create a searchable video library, perform content moderation, or provide personalized VIP experiences.

This tutorial is a demo of the functionality that is available when using the AWS CLI or the Rekognition API. For production or proof of concept implementations, we recommend using these programmatic interfaces rather than the Amazon Rekognition Console. Read more from aws.amazon.com…

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