**Updated: Tutorial is now available on my blog, KittyCam - Building a Raspberry Pi Camera with Cat Face Detection in Node.js, also Upgrading KittyCam with Raspberry Pi 3 **

Watch the demo on YouTube :-)

Raspberry Pi app using a camera and PIR motion sensor, written in Node.js using Johnny-Five and KittyDar for with cat facial detection.

I will write up the step-by-step tutorial (hopefully) soon! But until then, here is the instruction how to run this code locally with your own Raspberry Pi.

• Raspberry Pi 2 (with Raspbian. Also with WiFi adapter)
• 5MP Camera Board Module (buy)
• Pyroelectric Infrared (PIR) motion sensor (buy)
• 3 F/F wires (buy)

If you are a Raspberry Pi newbie, I recommend to buy this CanaKit Raspberry Pi 2 Complete Starter Kit.

• Connect the camera module to the CSI port

• 1 red wire: PIR-VCC to Pi's 5V
• 1 black wire: PIR-GND to Pi's ground
• 1 whatever color wire: PIR-OUT to Pi's Pin 7 (GPIO 4)

$ sudo apt-get update

then

$ sudo apt-get upgrade

Node for ARM is now supported officially on Nodejs.org! Download and install from there:

$ wget https://nodejs.org/dist/v4.4.5/node-v4.4.5-linux-armv7l.tar.xz
$ tar -xvf node-v4.4.5-linux-armv7l.tar.xz 
$ cd node-v4.4.5-linux-armv7l
$ sudo cp -R * /usr/local/

Check if node is successfully installed:

$ node -v

Go to Pi Software Config Tool to enable camera

$ sudo raspi-config

Test if your camera is working by try typing this command on terminal:

$ raspistill -o photo.jpg

I would like to say, $ npm install to install all the dependencies, and voilà! but it is not!

for cat facial detection, I am using kittydar, which dependencies including node-canvas, which requires Cairo.

So let's get Cairo on your Raspbian first.

$ sudo apt-get install libcairo2-dev libjpeg8-dev libpango1.0-dev libgif-dev build-essential g++

See more info on how to install Cairo for Node Canvas, see this Installation Ubuntu and other Debian based systems

If you download and use the whole node_modules contents of this repo, skip the step 2, and proceed to step 3. Otherwise, go to the next step to fresh-install the next several modules.

This is an actual photo taken by my Raspberry Pi, while Jamie was eating, and detected by KittyDar cat facial detection!

Once your environment is set up, in this RPi-KittyCam dir, install node dependency modules.

Ideally install from npm install kittydar —save

However, node-canvas 1.0.1 (the version specified in package.json for KittyDar) failed to build with the current Node.js (v0.12.6).

So what I did was download the zip from github repo into node_modules, alter the package.json, where canvas: ~1.0.1 to ^1.0.1 so that the latest v1.x canvas will be installed as I npm install from the kittydar directory.

Get the zip from my forked repo.

Note: I am sending a pull request (harthur/kittydar#27)

The following packages are specified inpackage.json file so they will be installed from npm install automatically, however, I just list them in case you want to know what they are:

Johnny-Five is a Javascript robotics framework that let you program micro controllers easily with carious hardware APIs.

$ npm install johnny-five

This I/O plugin allows you to use Johnny-Five on Raspbian.

$ npm install raspi-io

This is used to establish real-time live-updating the web interface, use PubNub (v3.x, imcompatible with the new v4).

$ npm install pubnub@3.15.2

You need to sign up and get you own publish and subscribe keys!

To store photos in a cloud, I am using Cloudinary.

$ npm install cloudinary

You need to sign up and get you own API keys!

To send a SMS message with the Cloiudinary image link to your phone, use Nexmo SMS API.

$ npm install nexmo

You need to sign up and get your own keys!

I removed my config.js file from the public repo so nobody abuses my API keys. So you need to create your own config.js in the root dir of the app.

The file should include your API keys:

module.exports = {

  cloudinary: {
    cloud_name: 'your_name',
    api_key: 'your_API_key',
    api_secret: 'your_API_secret',
  },
  pubnub: {
    subscribe_key: 'your_sub_key',
    publish_key: 'your_pub_key'
  },
  nexmo: {
    api_key: 'your_API_key',
    api_secret: 'your_API_secret',
    fromNumber: 'your_Nexmo_phone_number',
    toNumber: 'your_mobile_phone_number' 
  }

};

Nexmo's phone number should begin with a country code. e.g. '14155551234'.

You must run with sudo, because some modules used in the app requires root access:

$ sudo node kittyCam.js

The camera will take a photo when a motion is detected by the PIR sensor. Then the child_process runs to detect if there is any cats in the photo. When there are any cat, it sends the photo to Cloudinary.

Analyzed photos are deleted from the filesystem to clear up Pi.

• Get the web interface source code from gh-pages branch.
• Run the index.html on browser

• Raspistill continuously takes a bunch of photos when I set t = 0 (and crashes Pi while so many child process is running) so I have set t = 1, which causes delay. It seems to take only integer. Cats are too fast to wait for a second.
• The camera can't capture recognizable pics after the sun is set. My room light is too dark.

• During mealtime. When a cat is eating food (head-down position), the facial detection doesn't detect the cat at all.
• When my cat moves, eats from the side of the dish, or put his butt on the camera, it fails to tell me my cat was eating.

KittyCam.js - Raspberry Pi Camera w/ Cat Facial Detection on Slideshare