This project utilizes the Amazon Rekognition API which is a software-based on deep learning technology used for analyzing images and videos with the confidence level. The result is then emailed to the subscribed email address. The whole process has been made possible using multiple AWS services.

1. AWS Image Recognition
Yash Choksi
Monika Mishra
Amogh Mahesh
Aakanksha Tasgaonkar
Submitted to Professor Nanda Ganesan

2. Table of Contents
• Objectives
• Introduction
• Brief discussion on Amazon Web
Services(AWS)
• AWS services used
• Result & Conclusion
• Demonstration
• Q & A

3. Objective
• To develop a system using Amazon
Web Services (AWS) to detect objects
in an image file and send the formatted
output to the subscribed email address.

4. Introduction
• This project utilizes the Amazon
Rekognition API which is a software
based on deep learning technology
used for analyzing images and videos
with confidence level.
• The result is then emailed to the
subscribed email address.
• The whole process has been made
possible using multiple AWS services.

5. Amazon Web Services (AWS)
• Amazon Web Services (AWS) is a
subsidiary of Amazon that provides on-
demand cloud computing platforms
and APIs to individuals, companies, and
governments, on a metered pay-as-you-
go basis.

6. Amazon Web Services (AWS)
• Today, AWS provides a highly reliable,
scalable, low-cost infrastructure
platform in the cloud that powers
multitude of businesses in 190 countries
around the world.

7. AWS Services Used
• Identity and Access Management
(IAM) Role
– Security, Identity, & Compliance
• Simple Storage Service (S3)
– Storage
• AWS Lambda
– Compute

8. AWS Services Used
• Simple Notification Service (SNS)
– Application Integration
• CloudWatch
– Management & Governance

9. Upload image file to
S3
Lambda Function is
triggered
Result log on Cloud
watch
Result sent in Email
through SNS service
Flowchart

10. Identity and Access Management
(IAM) ROLE
• An IAM role is an IAM identity that one
can create in their account and has
specific permissions.
• A role is intended to be assumable by
anyone who needs it.
• When you assume a role, it provides
you with temporary security credentials
for your role session.

11. IAM ROLE

12. Simple Notification Service (SNS)
• Web service that coordinates and
manages the delivery or sending of
messages to subscribing endpoints or
clients.
• Two types of clients
– Publishers
– Subscribers

13. Simple Notification Service (SNS)
• We implemented Subscribers client
• Subscribers receive the message or
notification over one of the supported
protocols (that is, Amazon SQS,
HTTP/S, email, SMS, Lambda) when
they are subscribed to the topic.
• We chose the email protocol.

14. Simple Notification Service (SNS)

15. Simple Storage Service (S3)
• S3 is the storage for the internet. One
can use S3 to store and retrieve any
amount of data at any time, from
anywhere on the web.
• One can accomplish these tasks using
the simple and intuitive web interface of
the AWS Management Console.

16. Simple Storage Service (S3)
• Amazon S3 stores data as objects
within buckets.
• Buckets are the containers for objects.
• One can control access to it.
• To store an object in Amazon S3, you
upload the file you want to store to a
bucket.

17. Simple Storage Service (S3)

18. Lambda
• Serverless Computing
– allows you to build and run applications
and services without provisioning or
managing servers.
• Lambda Function
– The code you run on AWS Lambda is
uploaded as a “Lambda function”.

19. Lambda
• Platform as a Service (PaaS) - It helps
you to run and execute your backend
code.
• AWS Lambda supports the code written
in Java, Python, Node.js, Go, Ruby etc.
• We have used Python 2.7.
• Triggering event used – S3 trigger

20. Lambda Function

21. Lambda Function

22. Lambda

23. Lambda

24. Lambda

25. CloudWatch
• Amazon CloudWatch is a monitoring
service for AWS cloud resources and
the applications run on AWS.
• The CloudWatch dashboard interface
allows users to create custom graphical
views across their AWS services.
– These can include both real-time data and
historical data up to a two-week maximum.

26. Result

27. Result - File Upload
As soon as the file is uploaded in the S3 bucket,
Lambda Function is triggered

28. Result- Output on CloudWatch

29. Result- Output sent to
subscribed Email Address

30. Result 1
Label Confidence
Plant 99.9968643188 %
Food 99.9968643188 %
Fruit 99.9968643188 %
Pineapple 99.9968643188 %
Apple 99.9705505371 %
Citrus Fruit 97.5484390259 %
Orange 97.5484390259 %
Cherry 62.0342292786 %
Strawberry 58.4581108093 %

31. Result 2
Label Confidence
Wildlife 95.3505935669 %
Monkey 95.3505935669 %
Animal 95.3505935669 %
Mammal 95.3505935669 %
Baboon 70.0634231567 %
Mouth 62.6834907532 %
Lip 62.6834907532 %
Teeth 62.6834907532 %

32. Result 3
Label Confidence
Furniture 99.9620285034 %
Chair 99.9620285034 %
School 99.910369873 %
Indoors 99.8040084839 %
Classroom 99.8040084839 %
Room 99.8040084839 %
Person 99.5166778564 %
Human 99.5166778564 %

33. Conclusion
• Object detection has been widely used
for face detection, vehicle detection,
pedestrian counting etc.
• With Amazon Rekognition, one can
identify objects, people, text etc. in
images and videos, as well as detect
any inappropriate content.

34. Conclusion
• Amazon Web Services is the market
leader in IaaS (Infrastructure-as-a-
Service) and PaaS (Platform-as-a-
Service) for cloud ecosystems.
• AWS services can be combined to
create a scalable cloud application
without worrying about delays related to
infrastructure provisioning.

35. References
• https://www.tutorialspoint.com/amazon_
web_services/amazon_web_services_s
3.htm
• https://en.wikipedia.org/wiki/Amazon_W
eb_Services
• https://www.tutorialspoint.com/amazon_
web_services/amazon_web_services_cl
oud_computing.htm

36. References
• https://www.tutorialspoint.com/amazon_
web_services/amazon_web_services_la
mbda.htm
• https://docs.aws.amazon.com/IAM/lates
t/UserGuide/id_roles.html

37. Question and Answer Session
The End