© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS re:INVENT
Introducing Amazon Kinesis Video Streams
R o g e r B a r g a , G e n e r a l M a n a g e r o f A m a z o n K i n e s i s , A W S
A d i K r i s h n a n , H e a d o f A m a z o n K i n e s i s V i d e o S t r e a m s , A W S
Y o u s u k e O k a d a , F o u n d e r & C E O , A B E J A , I n c .
T o s h i y a K a w a s a k i , P l a t f o r m E n g i n e e r i n g H e a d , A B E J A I n c .
A B D 2 1 6

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What to expect from the session
• Overview of Amazon Kinesis Video Streams
• Key use cases
• Product details
• Customer case study and demo: ABEJA Inc.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Kinesis – real-time analytics
Easily collect, process, and analyze real-time, streaming data
Load data streams into
AWS data stores
Analyze data streams
with SQL
Build custom applications
that analyze data streams
Kinesis Data Streams Kinesis Data Firehose Kinesis Data Analytics
SQL

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Video is critical to many applications
Smart Home
Security
Monitoring
Smart City
Industrial Automation Computer Vision

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Building a video ingestion system is complex
• Cumbersome to rewrite code for various devices and development
environments
• Difficult to elastically scale to millions of devices
• Requires support for cadence, latency, and jitter on streams
• Requires secure, highly scalable, available storage
• Need easy-to-use APIs to retrieve, process, and replay video

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Stream video from millions of devices
Easily build vision-enabled apps
Secure
Durable, searchable storage
Fully managed
Amazon Kinesis Video Streams
S t r e a m v i d e o a n d t i m e - e n c o d e d d a t a f o r a n a l y t i c s
Kinesis
Video
Streams

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Key Use Cases

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Use case: Smart Home
Ex amp le : Pe t Monitor

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Use case: Smart City
Ex amp le : Amb e r Al e rt S yste m

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Use case: Industrial Automation
Ex amp le : Equ ip me nt Pre ve ntive Mainte nance

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kinesis Video Streams Product
Details

Amazon Kinesis Video Streams Concepts
Amazon Confidential

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential
• Flexible SDK for integration with on-
device hardware media pipelines
• Out-of-the-box integration with
AWS Auth mechanism: SigV4
• Flexible Put API to stream Frames or
buffered Fragments or after-the-fact
uploads
• Build custom integrations with
diverse camera and device types
• Secure AuthN and AuthZ to connect
devices w/ image sensors to AWS
• Stream video data based on the
preferred transmission scenario
Video Streams SDK offers … … that enables developers to
Kinesis Video Streams Producer SDK
E a s i l y c o n n e c t a n d s t r e a m f r o m c a m e r a s o u r c e s

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kinesis Video Streams Producer SDK
E a s i l y c o n n e c t a n d s t r e a m f r o m c a m e r a s o u r c e s
Amazon Confidential
Platform independent layer (C)
OO Wrapper Layer (C++ and Java)
Android Linux
For app devs to install on target OS to
build applications. Does not satisfy all
underlying hardware media pipeline,
source listing but makes it easy to do
so.
For camera-level integrators who want
an object-oriented, high-performance
integration model that satisfies the service
calls but is flexible to customize.
For manufacturers who want full flexibility
to integrate at source and firmware level
for different hardware platform types.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• CreateStream: Creates a new video stream
• DeleteStream: Deletes the specified stream
• DescribeStream: Returns the most current
information: version, status, data retention, etc.
about the specified stream
• ListStreams: Returns an array of StreamInfo
objects. Each object describes a stream
• GetDataEndpoint: Gets an endpoint for a
specified stream for either reading or writing
Control Plane APIs (5 of 10)

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• UpdateDataRetention: Increases or decreases the
stream's data retention period
• UpdateStream: Updates stream metadata, such as
the device name and media type
• TagStream: Adds one or more tags (key-value pair)
to a stream to help you define and categorize
• ListTagsForStream: Returns a list of tags
associated with the specified stream
• UntagStream: Removes one or more tags from a
stream
Control Plane APIs (10 of 10)

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• PutMedia: long-running streaming API to write
media data to a video stream
• GetMedia: retrieve media content from a video
stream from the specified starting chunk
continuously with low latency
• GetMediaForFragmentList: retrieve media data
for a list of fragments from the stored data in a
video stream
• ListFragments: returns a list of Fragments from
the specified video stream and start location
Data Plane APIs (4 of 4)

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kinesis Video Streams Parser Library
S o f t w a r e t h a t m a k e s i t e a s y t o w o r k w i t h G e t M e d i a o u t p u t
• Get a frame-level object and its associated metadata
• Extract and collect video streams-specific metadata attached for
fragments
• Merge consecutive fragments
• Build into your custom ML or other video-processing applications

Kinesis Video Streams Pricing
P a y f o r v o l u m e o f d a t a i n g e s t , s t o r e d , a n d c o n s u m e d
Data Ingested
(per GB)
Data Consumed
(per GB)
Data Stored
(per GB-Month)
US EAST (N. Virginia) $ 0.00850 $ 0.00850 $ 0.0230
US WEST (Oregon) $ 0.00850 $ 0.00850 $ 0.0230
EU (Ireland) $ 0.00944 $ 0.00944 $ 0.0230
EU (Frankfurt) $ 0.01020 $ 0.01020 $ 0.0245
Asia Pacific (Tokyo) $ 0.01097 $ 0.01097 $ 0.0250

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Ecosystem

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agent Vi: M a ke a n y s u r v e il l ance c a me ra s m a rt

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Health
Deep
Learnin
g
GPU
Events
Analytic
s
Search
Admin
Portal
BW
Optimai
zer
API
Gatewa
y
Cache
S3
RDS
Agent Vi and Kinesis Video Streams Integration
Agent Relay Kinesis Produce
r
Video Clip
innoVi Micro Services Kinesis Gateway Clip Player
Consumer
SDK
Producer
SDK
Kinesis
Video Stream

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Veritone: B r i n g A I t o v i d e o a n a l yt ics

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Customer Profile: ABEJA

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What is ABEJA
Company ABEJA, Inc.
Establishment September 2012
Capital 1,148,518,043 Yen
HQ Tokyo, Japan & Singapore
Mission Industrial Structure Transformation using Deep Learning
Employee 70 People (70% Engineers)
Business
PaaS: ABEJA Platform
Retail SaaS: ABEJA Platform for Retail
Stock Holder NVIDIA, Salesforce, INCJ, NTT, Itochu, Toshiba-Tec and etc.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ABEJA Platform (IoT & AI Platform) Overview
Cloud Inference
Edge Inference
Distributed
Cloud Training
Data Lake
IoT Sensors IoT Actuators
Other ServicesOther Services
Data
Analytics
API Connect
Stream & Batch
Annotation to make
Supervised Data
A Data for Inference
Model Deploy
Model Deploy
Real-time Stream
Control
API Connect
Supervised Data
Control
Inferenced Data

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
DynamoDB
+ Tracking
Mobile
Devices
Cameras
(1/3) Kinesis Video Stream in ABEJA Platform
Manufacturing
Use Case
VMD
Optimizations
Preventive
Maintenance
Visual inspection
Retail
Use Case
Automatic
Picking
Measure the
effect of
Marketing

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
DynamoDB
Kinesis Data Streams
IoT
Sensors
+ Tracking
Mobile
Devices
Cameras
(2/3) Kinesis Video Stream in ABEJA Platform
Manufacturing
Use Case
VMD
Optimizations
Preventive
Maintenance
Visual inspection
Retail
Use Case
Automatic
Picking
Measure the
effect of
Marketing

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
DynamoDB
Kinesis Data Streams
IoT
Sensors
+ Tracking
Mobile
Devices
Cameras
On-premises GPU cluster/servers for training
(3/3) Kinesis Video Stream in ABEJA Platform
Manufacturing
Use Case
VMD
Optimizations
Preventive
Maintenance
Visual inspection
Retail
Use Case
Automatic
Picking
Measure the
effect of
Marketing

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Demo

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Webcam
MacOS streamer
using Producer
SDK in C++
Consumer fetches and
decodes frames using
parser library & applies
deep-learning based model
GStreamer based producer
using C++ SDK on Linux sends
processed stream to console
Demo Architecture
How does it work?
1 2 3
Kinesis Video
web console

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ABEJA’s impressions of Kinesis Video Streams
• Do not have to worry about any infrastructure deployment or
management for reliable streaming video ingestion and storage
• Producer SDK enables streaming video to the cloud
• Parser library enables access and processing of real-time frames
• We focus on our core competency of building deep learning
algorithms and technology

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Kinesis—real-time analytics
Easily collect, process, and analyze video and data streams in real time
Capture, process,
and store video
streams for analytics
Load data streams
into AWS data stores
Analyze data streams
with SQL
Build custom
applications that
analyze data streams
Kinesis Video Streams Kinesis Data Streams Kinesis Data Firehose Kinesis Data Analytics
SQL
New at re:Invent 2017
Amazon Confidential

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
THANK YOU!
V i s i t a w s . a m a z o n . c o m / k i n e s i s / v i d e o - s t r e a m s