Detect, Analyze, and Compare Faces with Amazon Rekognition

In this tutorial, you will learn how to use the face recognition features in Amazon Rekognition using the AWS Management Console. Amazon Rekognition is a deep learning-based image and video analysis service.

As a developer, you might face the challenge of facial recognition and comparison if you are developing an employee verification system, or need to automate video editing or provide secondary authentication for other applications. To solve this, you could develop your own machine learning model, develop an API, and manage your own infrastructure. This option is expensive, requires advanced knowledge, and is time intensive.

An easier route is to use Amazon Rekognition, which can detect faces in an image or video, find facial landmarks such as the position of eyes, and detect emotions such as happy or sad in near-real time or in batches without management of infrastructure or modeling.

In this tutorial, you will use Amazon Rekognition to analyze an image and then compare it to other images to see if the faces are the same.

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.