Amazon Kinesis Video Streams is a video ingestion and storage service for analytics, machine learning, and video processing use cases. In this workshop, you will learn how to stream video from devices to Kinesis Video Streams for playback, storage and subsequent processing. For the workshop, we will provide you a Raspberry Pi 3 with camera module and pre-loaded with the Kinesis Video Streams producer SDK. First, you will create and configure a Kinesis video stream in the AWS management console. Next, you will stream videos from the Raspberry Pis to Kinesis Video Streams, view the live video feed in the console, and retrieve stored videos. Lastly, you will pull key operating metrics to understand the performance characteristics of your video stream. For this workshop, you need to create an AWS account and bring your own development laptop.

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AWS re:INVENT
Introducing Amazon Kinesis Video Streams
A l l a n M a c i n n i s , S o l u t i o n s A r c h i t e c t , A W S S t r e a m i n g d a t a
A d i t y a 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
J e r e m y Z i g m o n d , S o l u t i o n s A r c h i t e c t , A W S
A B D 2 1 6

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What to Expect from the Workshop
• Overview of Amazon Kinesis Video Streams
• Step-by-step guide: http://amzn.to/video-streams-workshop
• Set up your Raspberry Pi
• Create your Kinesis video stream to capture video
• Stream video from Raspberry Pi
• Monitor your video stream

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Video is critical to many applications
Smart Home Security
Monitoring
Smart City
Industrial Automation Computer Vision

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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

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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

6. Amazon Kinesis Video Streams Concepts

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A Note on Latencies
• Time spent in the device’s hardware media pipeline
• Latency incurred on actual data transmission on the internet
• Latency added by the Kinesis Video Streams as it receives data
from the producer device
• Time latency on data transmission back to the consumer (when
on the internet)
Finally the Kinesis Video Streams management console fetches the
supported H.264 media type, trans-packages it for various
browsers, and allows you to playback streams for development or
test purposes.

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Kinesis Video Streams Product
Details

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• 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)

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• 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)

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• 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)

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Key Use Cases

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Use case: Smart Home
Ex amp le : Pe t Monitor

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Use case: Smart City
Ex amp le : Amb e r Al e rt S yste m

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Use case: Industrial Automation
Ex amp le : Equ ip me nt Pre ve ntive Mainte nance

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THANK YOU!
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