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In today’s economy, businesses are looking to enable digital identity verification by creating scalable authentication workflows. For example, financial businesses need to verify customer identity before accessing online services, and educators need to verify student identity during remote tests. In this session, learn how to use Amazon Rekognition, a fully managed computer vision service to build automated and scalable online identity verification solution.

The topics that we will cover in this session are as follows:
What is Amazon Rekognition?
How it works?
Use cases

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.

With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.

Some of AWS Rekognition Features:

Face analysis.
Estimate age range for people.
Face comparison.
Objects detection and analysis (Tree, Grass, Moon , Light…etc).
Connect it with CloudWatch. (Get number of detected faces, response time….etc)
Try AWS Rekognition

Login to AWS Console.
Search for Rekognition.
Click ‘Try Demo’ button.
Now you can upload a picture and experience how AWS Rekognition will recognize it and tell it’s features.

How to Use AWS Rekognition ?

Connect to your Linux/Windows machine (Learn How to Create AWS EC2 Instance). https://goo.gl/ZOjUMI

AWS Cli should be installed (Learn How to Install AWS Cli on EC2 Instance). https://goo.gl/qj2yAH

Rekognition can be used directly from HTTP or using SDK
AWS Rekognition SDK Example

Create a bucket and place a picture in it.
Find name of the bucket and region.
Run following command from the EC2 and you will get an output with the recognized objects.

aws rekognition detect-labels –image “S3Object={Bucket=name-of-bucket,Name=test.jpg}” –region us-west-2

AWS Rekognition Cost

You can use up to 5000 pictures free a month as a part of the free tier from Amazon which will be enough for testing and 1000 face recognition metadata after that it will be $1 per 1000 calls.

#awsrekognition #amazonrekognition

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