by Kashif Imran Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You'll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.

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Use Amazon Rekognition to Build a Facial Recognition System
Kashif Imran, Sr. Solutions Architect
Rajesh Thallam, Big Data Architect
Ahmed Naser, Sr. Mgr Software Development
Ben Snively, Pr. SA Data and Analytics
Pranati Sahu, Data Scientist
BK Churasiya, Sr. Solutions Architect

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What to expect?
• Goal: Learn how to use facial recognition to build smart applications for public
safety and other use cases
• Overview of Amazon Rekognition
• Outline of the Workshop Scenario
• Preview of the Lab/Instructions

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Artificial Intelligence at Amazon

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The Amazon Machine Learning Stack
PLATFORM SERVICES
APPLICATION SERVICES
FRAMEWORKS & INTERFACES
Caffe2 CNTK
Apache
MXNet
PyTorch TensorFlow Torch Keras Gluon
AWS Deep Learning AMIs
Amazon SageMaker AWS DeepLens
Rekognition Transcribe Translate Polly Comprehend Lex

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Amazon Rekognition
Deep learning-based image and video analysis

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Object, Scene and Activity Detection

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Searchable Image Library

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Searchable Video Library

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Facial Recognition

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Facial Recognition

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Face-based User Verification

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Immediate Response for Pubic Safety and Security

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Facial Analysis

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Sentiment Analysis

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Unsafe Content Detection

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Image Moderation

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Detect Unsafe Video

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Celebrity Recognition

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Celebrity Recognition

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Text in Images

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License Plate Verification

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Other Services You Will Use Today

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Amazon Elastic Compute Cloud (EC2)
Match Capacity and
Demand
Global Footprint Elasticity
Provision Servers in
Minutes
Infrastructure as
Code
Programmatic
Networking

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Amazon Kinesis Data Firehose

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AWS Lambda
No Servers to Manage Continuous Scaling Don’t Pay for Idle Capacity
Lambda allows you to run
application logic without
provisioning servers or worrying
about the health or security of
underlying resources
Lambda scales infrastructure
beneath your application logic;
just send requests and events
and Lambda will automatically
scale to accommodate it
With Lambda, you’re billed in
100ms increments of execution
time and number of requests
and you’re never charged for
anything when your code isn’t
running

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Amazon DynamoDB
• Fast and flexible NoSQL database service
for any scale
Dead Simple
• GetItem(primaryKey)
• PutItem(item)
Robust Depth
• Fine-Grained Access Control
• Streams
• Triggers
• Global Tables
• Encryption
• DynamoDB local
• Free-text search
• Strong consistency option
• Atomic counters

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Amazon Simple Storage Service (S3)
• Durable, massively scalable object storage
• Designed for 99.999999999% durability and
99.99% availability
• Stores trillions of objects and regularly handles millions of requests per
second
• Effectively infinite storage without provisioning capacity

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Workshop Overview

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Architecture

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Extension

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• https://github.com/aws-samples/finding-missing-persons-using-social-media-
and-amazon-rekognition
https://tinyurl.com/ya94lwpz

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