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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Ranju Das November 30, 2016 NEW LAUNCH! Introducing Amazon Rekognition Easy-to-Use Deep Learning-based Image Recognition MAC203
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AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Jan 06, 2017

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Page 1: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Ranju Das

November 30, 2016

NEW LAUNCH! Introducing

Amazon RekognitionEasy-to-Use Deep Learning-based Image Recognition

MAC203

Page 2: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Images – universal, ubiquitous, & essential

Page 3: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Images – explosive growth trends

Source: InfoTrends Worldwide Consumer Photos Captured and Stored.

2013 -2017 prepared for Mylio.

Page 4: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Images – explosive growth trends

Amazon S3 – Images Stored

Page 5: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon RekognitionDeep learning-based image recognition service

Search, verify, and organize millions of images

Object and Scene

DetectionFacial

Analysis

Face

Comparison

Facial

Recognition

Page 6: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

DetectLabels

Object and Scene DetectionDetect objects, scenes, and concepts in images

Page 7: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

DetectLabels

{

"Confidence": 94.62968444824219,

"Name": "adventure"

},

{

"Confidence": 94.62968444824219,

"Name": "boat"

},

{

"Confidence": 94.62968444824219,

"Name": "rafting"

},

. . .

Page 8: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Object and Scene Detection

Flower

ChairCoffee Table

Living Room

Indoors

Page 9: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Object and Scene Detection

Maple

Villa

Plant

Garden

Water

Swimming Pool

Tree

Potted Plant

Backyard

Page 10: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Using Rekognition Object and Scene Detection

Photo-sharing apps can power smart searches and

quickly find cherished memories, such as weddings,

hiking, or sunsets.

Vacation rental markets can automatically label host-

uploaded images with tags, such as fireplace, kitchen,

or swimming pool.

Travel sites and forums can classify user generated

images with labels such as beach, camping, or

mountains.

Page 11: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Object and Scene Detection – Use CaseDynamic Search Indexing

AMAZON ELASTICSEARCH

AMAZON S3

Page 12: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

Facial AnalysisDetect face and key facial characteristics

DetectFaces

Page 13: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

[

{

"BoundingBox": {

"Height": 0.3449999988079071,

"Left": 0.09666666388511658,

"Top": 0.27166667580604553,

"Width": 0.23000000417232513

},

"Confidence": 100,

"Emotions": [

{"Confidence": 99.1335220336914,

"Type": "HAPPY" },

{"Confidence": 3.3275485038757324,

"Type": "CALM"},

{"Confidence": 0.31517744064331055,

"Type": "SAD"}

],

"Eyeglasses": {"Confidence": 99.8050537109375,

"Value": false},

"EyesOpen": {Confidence": 99.99979400634766,

"Value": true},

"Gender": {"Confidence": 100,

"Value": "Female”}

DetectFaces

Page 14: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Demographic Data

Facial Landmarks

Sentiment Expressed

Image Quality

Facial Analysis

General Attributes

Page 15: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Demographic Data

Facial Landmarks

Sentiment Expressed

Image Quality

Facial Analysis

Brightness: 25.84

Sharpness: 160

General Attributes

Page 16: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Using Rekognition Facial Analysis

Photo printing service can recommend the best

photos to their users

Online dating applications can improve their match

recommendations using face attributes

Retail businesses can understand the demographics

and sentiment of in-store customers

Ad-tech services can display dynamic and

personalized content to customers

Page 17: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Facial Analysis - Use Case (Retail – In-store and Online)

Demographic and Sentiment Analysis

Female

Happy

Smiling

Male

No Facial Hair

Happy

Female

Sad

No Eyeglasses

Page 18: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Facial Analysis - Use Case (Retail – In store and Online)

Demographic and Sentiment Analysis

AMAZON S3AMAZON REDSHIFTAMAZON QUICKSIGHT

Page 19: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Look Your Best All Day

Time for A New Look?

Facial Analysis - Use Case (Targeted Marketing)

Demographic and Sentiment Analysis

Pers

on A

Pers

on B

Sees

Sees

Page 20: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Facial Analysis - Use Case (Targeted Marketing)

Demographic and Sentiment Analysis

demographic and

sentiment attributes

Look Your Best All Day

Application

AMAZON

REDSHIFTAMAZON

DYNAMODBAMAZON S3

log

demographic

profile updates

retrieve ad image

face image is collected

and analyzed AMAZON

REKOGNITION

DetectFaces

Page 21: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

CompareFaces

Amazon Rekognition API

Face ComparisonFace-based user verification

Page 22: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

CompareFaces

{

"FaceMatches": [

{"Face": {"BoundingBox": {

"Height": 0.2683333456516266,

"Left": 0.5099999904632568,

"Top": 0.1783333271741867,

"Width": 0.17888888716697693},

"Confidence": 99.99845123291016},

"Similarity": 96

},

{"Face": {"BoundingBox": {

"Height": 0.2383333295583725,

"Left": 0.6233333349227905,

"Top": 0.3016666769981384,

"Width": 0.15888889133930206},

"Confidence": 99.71249389648438},

"Similarity": 0

}

],

"SourceImageFace": {"BoundingBox": {

"Height": 0.23983436822891235,

"Left": 0.28333333134651184,

"Top": 0.351423978805542,

"Width": 0.1599999964237213},

"Confidence": 99.99344635009766}

}

Page 23: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Face Comparison

Page 24: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

IoT and camera manufacturers can integrate face-

based verification directly into their products

Application of face comparison in locating person of

interest for Public Safety

Hotels & hospitality businesses can provide seamless

access for guests and VIPs

Online exams or polls can verify presence of registered

person by comparing against image captured by

webcam.

Using Rekognition Face Comparison

Page 25: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Face Comparison – Use CaseFace-based Verification

AMAZON S3

Page 26: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition APIFace Recognition

Index and Search faces in a collection

Index

Search

Collection

IndexFaces

SearchFacesByImage

Page 27: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

f7a3a278-2a59-5102-a549-a12ab1a8cae8

&

v1

02e56305-1579-5b39-ba57-9afb0fd8782d

&

v2

Face ID & vector<float>Face

4c55926e-69b3-5c80-8c9b-78ea01d30690

&

v3tr

an

sfo

rme

d

sto

red

{

f7a3a278-2a59-5102-a549-a12ab1a8cae8,

02e56305-1579-5b39-ba57-9afb0fd8782d,

4c55926e-69b3-5c80-8c9b-78ea01d30690

}

IndexFace Collection

Page 28: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition API

Face

{

f7a3a278-2a59-5102-a549-a12ab1a8cae8,

02e56305-1579-5b39-ba57-9afb0fd8782d,

4c55926e-69b3-5c80-8c9b-78ea01d30690

}

SearchFacebyImageCollection

Nearest neighbor

search

Face ID

Page 29: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Face Recognition

Page 30: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Using Face Recognition

Family photo sharing apps can use face recognition to

group all faces of the same person in a family

Entertainment and news organizations can index decades

of archived images to find celebrities

Secure campuses / workplaces can use face search to

ensure all personnel in their facilities are authorized to be

there

Public safety teams can leverage face collections to

automate tracking of persons of interest

Page 31: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Face Recognition - Use CasesIndexing Faces into a Collection

AMAZON S3

APPLICATION

Image Indexer

AMAZON

REKOGNITION

IndexFaces

Person Details

Application TableFace Collection

AWS LAMBDACAMERA

Live Frames

Page 32: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Face Recognition - Use CasesSearch for similar face in Face Collection

AMAZON S3

Page 33: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition Under the Hood

Page 34: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Ground Truth Generation

Training

Page 35: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Ground Truth Generation

SimpleAutomated Quality Fast

Data Pipeline

Page 36: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Ground Truth Generation

GlobalTrained ReliableElastic

Human Workforce

Page 37: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition - Deep Learning Process

Conv 1 Conv 2 Conv n

Feature Maps

Labrador

Dog

Beach

Outdoors

So

ftm

ax

Probability

Fully

Connected

Layer

Page 38: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

DEMO

Page 39: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Benefits

Fully Managed AWS Integration Low CostProven Scalability Secure

Page 40: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition – Availability and Pricing

1. Released General Availability

2. At launch available in 3 regions,

1. US East (N. Virginia)

2. US West (Oregon)

3. EU (Ireland)

3. Pricing

• Pay as you go

• Free Tier – 5000 images per month for first 12 months

• Tiered Pricing designed

Page 41: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Amazon Rekognition – Pricing Details

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 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

*Images processed: For APIs with image as input, it’s the number of images analyzed. For APIs with no image input 1 API call = 1 image processed.

Page 42: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Summary

1. Fully managed and easy-to-use image recognition service

2. Four primary capabilities1. Object and Scene Detection

2. Facial Analysis

3. Face Comparison

4. Face Recognition

3. Integrated with AWS and AI Services

• Amazon S3

• Lex and Polly

4. Scalable and low cost

Page 43: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Getting Started

http://aws.amazon.com/rekognition/

Page 44: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Questions

Page 45: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Remember to complete

your evaluations!

Page 46: AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

Thank you!

Ranju Das