AWS Rekognition - AWS Summit Tel Aviv 2017

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Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Rekognition
Rich Image Metadata Extraction Powered by Deep Learning
Adrian Hornsby, Technical Evangelist
@adhorn
adhorn@amazon.com

Deep Learning Process
Conv 1 Conv 2 Conv n
…
…
Feature Maps
Labrador
Dog
Beach
Outdoors
Softmax
Probability
Fully
Connected
Layer

Amazon
Rekognition
Object and scene detection
Facial analysis
Face comparison
Celebrity recognition
Image moderation
Amazon Rekognition: Images In, Rich Metadata
Out

Image moderation
Explicit Nudity
Nudity
Graphic Male Nudity
Graphic Female Nudity
Sexual Activity
Partial Nudity
Suggestive
Female Swimwear or Underwear
Male Swimwear or Underwear
Revealing Clothes

Amazon
Rekognition
Amazon Rekognition: supported actions
CompareFaces
CreateCollection
DeleteCollection
DeleteFaces
DetectFaces
DetectLabels
DetectModerationLabels
GetCelebrityInfo
IndexFaces
ListCollections
ListFaces
RecognizeCelebrities
SearchFaces
SearchFacesByImage

Collection
IndexFaces
SearchFacesbyImage
Nearest neighbor
search
FaceID: 4c55926e-69b3-5c80-8c9b-78ea01d30690
Similarity: 97
FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d
Similarity: 92
FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d
Similarity: 85

Amazon Rekognition Pricing
Free Tier: 5000 images processed per month for first 12 months
Image Analysis Tiers
Price per 1000
images processed
First 1 million images processed* per month $1.00
Next 9 million images processed* per month $0.80
Next 90 million images processed* per month $0.60
Over 100 million images processed* per month $0.40
Face Metadata Storage
Price per 1,000 face
metadata stored per month
Face metadata stored $0.01

Reference Architecture
Searchable Image Library

Reference Architecture
Face-Based User Verification

Reference Architecture
Sentiment Analysis

Reference Architecture
Facial Recognition

Reference Architecture
Facial Recognition – Batch mode

Using Amazon Rekognition to Identify Persons of Interest for
Law Enforcement
https://aws.amazon.com/blogs/ai/using-amazon-rekognition-to-identify-persons-of-interest-for-law-enforcement/
Washington County Sheriff’s Office.
“Amazon Rekognition has
become a powerful tool for
identifying suspects for my
agency. As the service
improves, I hope to make it the
standard for facial recognition
in law enforcement.”
Chris Adzima
Senior Information Systems Analyst,
Washington County Sheriff’s Office.

Amazon Rekognition
Customers
• Digital Asset Management
• Media and Entertainment
• Travel and Hospitality
• Influencer Marketing
• Systems Integration
• Digital Advertising
• Consumer Storage
• Law Enforcement
• Public Safety
• eCommerce
• Education

<demo>
Poliko
powered by Amazon Polly & Rekognition
</demo>
http://poliko.adhorn.me

Demo - Poliko
Poliko
Take Pic
Amazon Cognito
2. Detect Labels
4. Synthesize-speech
Amazon Rekognition
Amazon Polly
3. Detect Faces
Amazon S3
“Static website hosting” enabled

<demo>
Image Recognition and Processing Backend
Step Functions
</demo>
https://github.com/awslabs/lambda-refarch-imagerecognition

https://github.com/awslabs/lambda-refarch-imagerecognition

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you!
@adhorn
adhorn@amazon.com

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AWS Rekognition - AWS Summit Tel Aviv 2017

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Rekognition Rich Image Metadata Extraction Powered by Deep Learning Adrian Hornsby, Technical Evangelist @adhorn adhorn@amazon.com

3. Amazon AI Ecosystem

4. Amazon AI Ecosystem

5. Artificial neural network

6. Deep Learning Process Conv 1 Conv 2 Conv n … … Feature Maps Labrador Dog Beach Outdoors Softmax Probability Fully Connected Layer

7. Ground Truth Generation Training

8. Amazon Rekognition Object and scene detection Facial analysis Face comparison Celebrity recognition Image moderation Amazon Rekognition: Images In, Rich Metadata Out

9. Object & Scene Detection

10. Object & Scene Detection

11. Facial Analysis

12. Facial Analysis

13. Facial Comparison

14. Facial Comparison

15. Celebrity Recognition

16. Celebrity Recognition

17. Image moderation Explicit Nudity Nudity Graphic Male Nudity Graphic Female Nudity Sexual Activity Partial Nudity Suggestive Female Swimwear or Underwear Male Swimwear or Underwear Revealing Clothes

18. Image moderation

19. Amazon Rekognition Amazon Rekognition: supported actions CompareFaces CreateCollection DeleteCollection DeleteFaces DetectFaces DetectLabels DetectModerationLabels GetCelebrityInfo IndexFaces ListCollections ListFaces RecognizeCelebrities SearchFaces SearchFacesByImage

20. Collection IndexFaces SearchFacesbyImage Nearest neighbor search FaceID: 4c55926e-69b3-5c80-8c9b-78ea01d30690 Similarity: 97 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 92 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 85

21. Amazon Rekognition Pricing Free Tier: 5000 images processed per month for first 12 months Image Analysis Tiers Price per 1000 images processed First 1 million images processed* per month $1.00 Next 9 million images processed* per month $0.80 Next 90 million images processed* per month $0.60 Over 100 million images processed* per month $0.40 Face Metadata Storage Price per 1,000 face metadata stored per month Face metadata stored $0.01

22. <demo> Rekognition to the test </demo>

23. Sheepdog or mop

24. Chihuahua or muffin?

25. Puppy or bagel?

26. Labradoodle or fried chicken

27. Shiba or marshmallow

28. Reference Architecture Searchable Image Library

29. Reference Architecture Image Moderation

30. Reference Architecture Face-Based User Verification

31. Reference Architecture Sentiment Analysis

32. Reference Architecture Facial Recognition

33. Reference Architecture Facial Recognition – Batch mode

34. Using Amazon Rekognition to Identify Persons of Interest for Law Enforcement https://aws.amazon.com/blogs/ai/using-amazon-rekognition-to-identify-persons-of-interest-for-law-enforcement/ Washington County Sheriff’s Office. “Amazon Rekognition has become a powerful tool for identifying suspects for my agency. As the service improves, I hope to make it the standard for facial recognition in law enforcement.” Chris Adzima Senior Information Systems Analyst, Washington County Sheriff’s Office.

35. Amazon Rekognition Customers • Digital Asset Management • Media and Entertainment • Travel and Hospitality • Influencer Marketing • Systems Integration • Digital Advertising • Consumer Storage • Law Enforcement • Public Safety • eCommerce • Education

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39. <demo> Poliko powered by Amazon Polly & Rekognition </demo> http://poliko.adhorn.me

40. Demo - Poliko Poliko Take Pic Amazon Cognito 2. Detect Labels 4. Synthesize-speech Amazon Rekognition Amazon Polly 3. Detect Faces Amazon S3 “Static website hosting” enabled

41. <demo> Image Recognition and Processing Backend Step Functions </demo> https://github.com/awslabs/lambda-refarch-imagerecognition

42. https://github.com/awslabs/lambda-refarch-imagerecognition

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AWS Rekognition - AWS Summit Tel Aviv 2017

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