Amazon AI w da pdm vx h zn m e vg

Serverless Meet-up Osaka – 2017.1.27 Solutions Architect, Amazon Web Services Japan Takayuki Shimizu @shimy_net

•  –  r r tL=I u–  ” ´–  LSP r m m r –  9LI $ W S O S

CNRCNICOO sx

•  IS bS S x $ r r

•  CO P O 9GA ?O`ScOe –  I. BW S W e O : D PW S 9 O e`WQ 9A

$&ikN

w

•  9A t9 `WgQWO A `S WUS QSu

VLKX w

r

2GR UOPC

VLK O PPLK

VLK NG C GN

VLKA L

VLK rw yw

Amazon Go

•  How does Amazon Go work? –  Our checkout-free shopping experience is made possible by the same types

of technologies used in self-driving cars: computer vision, sensor fusion, and deep learning. Our Just Walk Out Technology automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt.

9 Of )Q 5 5 9 Of ? >9H`` 5**ccc)O Of )Q *P8WS6K >3 S6,1 3034 ,,

•  m rm rr m

ff

w• 

–  9GA•  9GAm 9GAm 9GA

–  ” m ”•  r ”

•  X w r–  r mDC m r–  r ” v wm

v wm r ”v w z

•  l W–  r

•  oI O X m?GK r r•  r oDMES` O S OW S S > c II E=•  fi

–  ” ”•  r m

A L

VLKA GKC 3C NKGKE

,&

CHLEKGPGLK$A OUS SQ U W`W

LIIU$ Sd`(` ( SSQ $ bS O`W O A `S TOQS

3CT

w• 

–  9GA•  9GAm 9GAm 9GA

–  ” m ”•  r ”

•  X w r–  r mDC m r–  r ” v wm

v wm r ”v w z

•  l W–  r

•  oI O X m?GK r r•  r oDMES` O S OW S S > c II E=•  fi

–  ” ”•  r m

A L

VLKA GKC 3C NKGKE

,&

CHLEKGPGLK$A OUS SQ U W`W

LIIU$ Sd`(` ( SSQ $ bS O`W O A `S TOQS

3CT

” r r

5CP LK ,& E& M& ut

Deep Learning AMI

http://aws.typepad.com/sajp/2016/11/mxnet-default-framework-deep-learning-aws.html

5CP LK 3

http://aws.typepad.com/sajp/2017/01/seamlessly-scale-predictions-with-aws-lambda-and-mxnet.html

w• 

–  9GA•  9GAm 9GAm 9GA

–  ” m ”•  r ”

•  X w r–  r mDC m r–  r ” v wm

v wm r ”v w z

•  l W–  r

•  oI O X m?GK r r•  r oDMES` O S OW S S > c II E=•  fi

–  ” ”•  r m

A L

VLKA GKC 3C NKGKE

,&

CHLEKGPGLK$A OUS SQ U W`W

LIIU$ Sd`(` ( SSQ $ bS O`W O A `S TOQS

3CT

r r9A r

Amazon Rekognition

•  rr

•  m v wv wv ffw

•  I.” ” mff

•  r m m rn 0

, ´m MMIC

Amazon Polly

•  r h Sd`(` ( SSQ hr n9GA G e

” r ´

•  -/ m/2 t m u”n r

•  ” nG er ”

•  r m mr r

F S ` S POe SO S 9C)

F S ` S POe SO S 9C)

CTP

GL

Amazon Lex

•  ´ r ”” r n9 Of

9 SdO r ”

•  fi ”r r ” m

r

•  r r r n,0 ´ ,

n , )20m,/)

b LGAC RCN•  r t u

Amazon Rekognition AWS SDK

for iOS

Amazon S3 Bucket

Amazon Cognito Amazon Polly

M

Skate, Car, Street, Parking, Town

b w

Amazon Rekognition

AWS SDK for iOS

Amazon S3 Bucket

Amazon Cognito

Amazon Polly

M

AWS Lambda

Amazon S3 Bucket

M

Amazon SNS

M

m´ CO P OyIEIm

nt uy

r r´

c gkf•  ”

Amazon Rekognition

AWS SDK for iOS

Amazon S3 Bucket

Amazon Cognito

w

Amazon Rekognition

Amazon S3 Bucket ido

SGDP ! 2 DLN G• 

–  - ,/*4 lIcWT`,) sMQ S1) sWFI3–  - ,/*, lIcWT`,),sMQ S1),–  - ,0*/ lIcWT`,)-sMQ S1).–  - ,0*4 lIcWT`-) sMQ S2) sWFI4–  - ,0*, lIcWT`-),sMQ S2),sWFI4),–  - ,0* lIcWT`-),),sMQ S2)-sWFI4)-–  - ,1*. lIcWT`-)-sMQ S2).sWFI X4).–  - ,1*4 lIcWT`-).(.) sMQ S3) sWFI,–  - ,2* lIcWT`.) sMQ S4) sWFI,,–  - ,2* lIcWT`/) p

WFIIcWT`. p

SGDP ! 2 DLN G

•  9LI I B T WFI $76 WFI3 MQ S2

w( v2 w G h OSGDP

y d

https://github.com/awslabs/aws-sdk-ios-samples

D PW S aP r

I B O rr

L GIC ew