Building an Immersive, Interactive Customer Experience using AI and Augmented Reality

Amazon Web Services
Amazon Web ServicesAmazon Web Services
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Injae Kwak - AWS Solutions Architect
3rd July 2019
Building an immersive, interactive customer
experience using artificial intelligence and
augmented reality
Agenda
• Primer on XR (Augmented Reality/Virtual Reality)
• Building interactive smart applications
• Combining AI/ML and AR
• Getting started with AWS services
• Variety showcase of demos
To understand Augmented Reality
We must go back..
Great Scott!
The real world Fully immersive
Digital information
layered over the
real world
Virtual objects
interacting with real
world
Blend of digital and
real world info to
enhance reality
(we are here!)
Web ImmersiveMobile Cloud
Evolution of User Interfaces
How customers are using XR
Instructional design
Brand engagement
Data visualisation
Simulation
Digital Twins
Virtual tours
Digital signage Customer Service
agents & chatbots
XR customers across industries
What are some of the challenges?
Amazon Sumerian
Leverage rich library of assets
Entities Panel
Canvas
Assets Panel
State Graph
WebVR Mode
Components Panel
Demo: Web based AR
Building interactive experience through AI/ML
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon AI/ML Stack
A I S E R V I C E S
A M A Z O N
R E K O G N I T I O N
I M A G E
A M A Z O N
P O L L Y
A M A Z O N
T R A N S C R I B E
A M A Z O N
T R A N S L A T E
A M A Z O N
C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
A M A Z O N
L E X
A M A Z O N
R E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
A M A Z O N
F O R E C A S T
A M A Z O N
T E X T R A C T
A M A Z O N
P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimisation ( N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW
NEWNEW
NEW
NEW
NEW NEWNEWNEW
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon AI/ML Stack
A I S E R V I C E S
A M A Z O N
R E K O G N I T I O N
I M A G E
A M A Z O N
P O L L Y
A M A Z O N
T R A N S C R I B E
A M A Z O N
T R A N S L A T E
A M A Z O N
L E X
A M A Z O N
R E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
A M A Z O N
F O R E C A S T
A M A Z O N
T E X T R A C T
A M A Z O N
P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW
NEWNEW
NEW
NEW
Pre-trained AI services that
require no ML skills or training
Easily add intelligence to your
existing apps and workflows
Quality and accuracy from
continuously-learning APIs
A M A Z O N
C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
NEW NEWNEWNEW
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon AI/ML Stack
A I S E R V I C E S
A M A Z O N
R E K O G N I T I O N
I M A G E
A M A Z O N
P O L L Y
A M A Z O N
T R A N S C R I B E
A M A Z O N
T R A N S L A T E
A M A Z O N
L E X
A M A Z O N
R E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
A M A Z O N
F O R E C A S T
A M A Z O N
T E X T R A C T
A M A Z O N
P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW
NEWNEW
NEW
NEW
A M A Z O N
R E K O G N I T I O N
I M A G E
Object, scene, and activity detection
Facial recognition
Facial analysis
Pathing people movement
Unsafe content detection
Celebrity detection
Text extraction
A M A Z O N
C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
NEW NEWNEWNEW
Demo: Utilising AI through APIs
Application architecture
Mobile client
Amazon Cognito
Amazon Rekognition
Authentication
Model Inference
User App
Object Detection App
Customers using Amazon Rekognition
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon AI/ML Stack
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
F O R E C A S TT E X T R A C T P E R S O N A L I S E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW NEWNEW
NEW
NEW
NEWNEW
NEW
NEW
Using a custom machine learning model
Use Case: Sign Language to English Translation
Handshape
Position
Movement
Non-Manual Markers
Context
Demo: Translating Sign Language
Application architecture
Mobile client
Amazon Cognito
Amazon Rekognition
Authentication
Model Inference
User App
Object Detection App
Mobile client
Amazon Cognito
Amazon SageMaker
Authentication
Model Inference
User App
Sign Language Translation App
What about combining both together?
+
Augmented
Reality
Artificial
Intelligence
= ? ? ?
Demo: Augmented Reality Concierge
So how do I get started?
Introducing AWS Amplify
XR
Authentication
Analytics
Pub/Sub
APIs
Dream Big
• Drive innovation through imagination
• Disrupt customer experience using emerging technologies
Start Small
• Add interactive experiences through AWS AI/ML and Amazon Sumerian
• Integrate rich functionalities through AWS Amplify
Build Fast
• Links to tutorials and labs @ next page
• Links to download demos @ next page
Additional Resources
https://bit.ly/2TUJ2acAmazon Sumerian Tutorials
Github Lab – Starter React PWA https://bit.ly/2GkrT4b
Sign Language Translation iOS app (testflight) https://apple.co/2uUmbh8
Object Detection iOS app (testflight) https://apple.co/2D65aVJ
AR Concierge Android app (google playstore) https://bit.ly/2FZzWjA
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Building an Immersive, Interactive Customer Experience using AI and Augmented Reality

  • 1. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Injae Kwak - AWS Solutions Architect 3rd July 2019 Building an immersive, interactive customer experience using artificial intelligence and augmented reality
  • 2. Agenda • Primer on XR (Augmented Reality/Virtual Reality) • Building interactive smart applications • Combining AI/ML and AR • Getting started with AWS services • Variety showcase of demos
  • 3. To understand Augmented Reality We must go back..
  • 5. The real world Fully immersive Digital information layered over the real world Virtual objects interacting with real world Blend of digital and real world info to enhance reality (we are here!)
  • 7. How customers are using XR Instructional design Brand engagement Data visualisation Simulation Digital Twins Virtual tours Digital signage Customer Service agents & chatbots
  • 8. XR customers across industries
  • 9. What are some of the challenges?
  • 12. Entities Panel Canvas Assets Panel State Graph WebVR Mode Components Panel
  • 15. M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon AI/ML Stack A I S E R V I C E S A M A Z O N R E K O G N I T I O N I M A G E A M A Z O N P O L L Y A M A Z O N T R A N S C R I B E A M A Z O N T R A N S L A T E A M A Z O N C O M P R E H E N D C O M P R E H E N D M E D I C A L A M A Z O N L E X A M A Z O N R E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N A M A Z O N F O R E C A S T A M A Z O N T E X T R A C T A M A Z O N P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimisation ( N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E ) Language Forecasting Recommendations NEW NEWNEW NEW NEW NEW NEWNEWNEW
  • 16. M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon AI/ML Stack A I S E R V I C E S A M A Z O N R E K O G N I T I O N I M A G E A M A Z O N P O L L Y A M A Z O N T R A N S C R I B E A M A Z O N T R A N S L A T E A M A Z O N L E X A M A Z O N R E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N A M A Z O N F O R E C A S T A M A Z O N T E X T R A C T A M A Z O N P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization ( N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E ) Language Forecasting Recommendations NEW NEWNEW NEW NEW Pre-trained AI services that require no ML skills or training Easily add intelligence to your existing apps and workflows Quality and accuracy from continuously-learning APIs A M A Z O N C O M P R E H E N D C O M P R E H E N D M E D I C A L NEW NEWNEWNEW
  • 17. M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon AI/ML Stack A I S E R V I C E S A M A Z O N R E K O G N I T I O N I M A G E A M A Z O N P O L L Y A M A Z O N T R A N S C R I B E A M A Z O N T R A N S L A T E A M A Z O N L E X A M A Z O N R E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N A M A Z O N F O R E C A S T A M A Z O N T E X T R A C T A M A Z O N P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization ( N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E ) Language Forecasting Recommendations NEW NEWNEW NEW NEW A M A Z O N R E K O G N I T I O N I M A G E Object, scene, and activity detection Facial recognition Facial analysis Pathing people movement Unsafe content detection Celebrity detection Text extraction A M A Z O N C O M P R E H E N D C O M P R E H E N D M E D I C A L NEW NEWNEWNEW
  • 18. Demo: Utilising AI through APIs
  • 19. Application architecture Mobile client Amazon Cognito Amazon Rekognition Authentication Model Inference User App Object Detection App
  • 20. Customers using Amazon Rekognition
  • 21. M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon AI/ML Stack A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D C O M P R E H E N D M E D I C A L L E XR E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N F O R E C A S TT E X T R A C T P E R S O N A L I S E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization ( N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E ) Language Forecasting Recommendations NEW NEWNEW NEW NEW NEWNEW NEW NEW
  • 22. Using a custom machine learning model Use Case: Sign Language to English Translation Handshape Position Movement Non-Manual Markers Context
  • 24. Application architecture Mobile client Amazon Cognito Amazon Rekognition Authentication Model Inference User App Object Detection App Mobile client Amazon Cognito Amazon SageMaker Authentication Model Inference User App Sign Language Translation App
  • 25. What about combining both together? + Augmented Reality Artificial Intelligence = ? ? ?
  • 27. So how do I get started?
  • 29. Dream Big • Drive innovation through imagination • Disrupt customer experience using emerging technologies Start Small • Add interactive experiences through AWS AI/ML and Amazon Sumerian • Integrate rich functionalities through AWS Amplify Build Fast • Links to tutorials and labs @ next page • Links to download demos @ next page
  • 30. Additional Resources https://bit.ly/2TUJ2acAmazon Sumerian Tutorials Github Lab – Starter React PWA https://bit.ly/2GkrT4b Sign Language Translation iOS app (testflight) https://apple.co/2uUmbh8 Object Detection iOS app (testflight) https://apple.co/2D65aVJ AR Concierge Android app (google playstore) https://bit.ly/2FZzWjA