Creating a Smart and Serverless Cat Detection System

Using Amazon Web Services!

Linda Nichols

@lynnaloo

Norfolk.js

norfolkjs.org

RevolutionVA

revolutionconf.com

hrdevfest.org

Let's Talk about Cat Detection Systems!

What is it?

A motion detector that sends an SMS message when a cat is nearby.

Components

• Raspberry Pi 3

• Raspberry Pi Camera

• PIR Sensor

• Power Source

• Lead Wires

• 1 Kitty (optional)

Hardware

Software

• Node.js

• Johnny-Five

• AWS IoT SDK

• Raspicam

• Node.js

• Twilio

On the Raspberry Pi:

In the Cloud:

What's Johnny-Five?

Johnny-Five

Open-source JavaScript Robotics Platform

www.johnny-five.io

What is Amazon IoT?

It's a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

- Amazon Web Services

What is Amazon IoT?

What is Amazon IoT?

It's a pub/sub system for devices.

- Linda

What is Amazon IoT?

• Supports billions of devices

• Supports trillions of messages

• Inexpensive

• Reliable

• Secure

• Super-fast

Trillions of cat detections

How Does It Work?

• Major components are the device gateway and rules engine.

• A message broker provides a pub/sub via MQTT protocol.

• The rules engine filters and routes messages to other services.

How Does It Work?

But I thought this was "serverless"...

Disclaimer:

"Serverless" is just a catchy, made-up, marketing term.

Serverless Architecture

It's about the events!

Serverless Architecture

Events from IoT (and other services) can trigger Serverless Functions 

Serverless Functions (FaaS).

Stateless functions running in containers managed by a service provider (not you!).

AWS Lambda

• Very Inexpensive

• Easy Deployments

• Scalable

• Supports Many Runtimes

Lambda Handler

'use strict';

const catNames = require('cat-names');
const AmazonDb = require('amazon-db-module');

function getCatName(event, context, callback) {
    const amazonDb = new AmazonDb();
    const catName = catNames.random();
    amazonDb.update(catName);
    callback(null, { payload: `Your cat name is ${catName}.` });
}

module.exports.getCatName;

But what makes the cat detector... smart?

Amazon Rekognition

Features

• Object and Scene Detection

• Image Moderation

• Facial Recognition

• Face Comparison

• Celebrity Recognition

Amazon Rekognition

Amazon Rekognition service uses deep learning algorithms to analyze images for scenes, objects, faces, and other content.

Visual Recognition knows if a cat is in an image.

Amazon Rekognition

[ 
    { Name: 'Animal', Confidence: 98.29473114013672 },
    { Name: 'Cat', Confidence: 97.9908218383789 },
    { Name: 'Adorable', Confidence: 97.9908218383789 },
    { Name: 'Feline', Confidence: 96.9802474975586 },
    { Name: 'Domestic Cat', Confidence: 64.9802474975586 },
    { Name: 'Mammal', Confidence: 64.9908218383789 },
    { Name: 'Manx', Confidence: 64.9908218383789 },
    { Name: 'Pet', Confidence: 64.9908218383789 } 
]

The Code

Hardware/IoT Platform Code: github.com/lynnaloo/kitty-detector

AWS Lambda Functions:  github.com/lynnaloo/go-away-kitty

Demo Time!

Thank You!

@lynnaloo