The document discusses using serverless computing with Firebase. It introduces Firebase as a platform for building apps without managing infrastructure. It then discusses Cloud Functions, which allow developing backends without managing servers by creating functions triggered by Firebase events like database changes. As an example, it demos using the Cloud Vision API for image label detection within a Cloud Function, with images uploaded to Cloud Storage and labels saved to the Firebase Database. The Cloud Vision API can also perform tasks like facial recognition, OCR, and detecting explicit content.

1. Serverless with Firebase
Carlos Azaustre
@carlosazaustre
carlosazaustre.es

2. What is Firebase?
Google Platform to build apps
fast without managing
infrastructure
firebase.google.com

3. Serverless

4. Serverless

6. Compute Engine Container Engine App Engine Cloud Functions

7. Cloud Functions
Develop a Backend without
managing servers.
Create functions that are
triggered by Firebase products
such as changes to data in
Database, new user sign ups
via Auth, file uploads to
Storage, etc...

8. Cloud Functions
Node.js 6.11.1
Open-source, cross-platform
JavaScript runtime
environment for executing
JavaScript code server-side
Environment contains
ImageMagick

9. Cloud Functions: Triggers

10. Cloud Functions - Examples

11. Cloud Functions - Examples

12. Cloud Functions - Examples

13. Cloud Functions - What more?
Google Cloud Platform provides
several API’s to use in our
projects such as
● Vision API
● Speech API
● Translation API
● Natural Language API
● Video Intelligence API
Or you can train your models
with TensorFlow and Machine
Learning Engine

14. Demo Time

15. Demo Time: Architecture
Frontend
Cloud
Storage
Cloud
Functions
Cloud Vision API
LabelDetection
Database
Firebase

16. Cloud Vision API
"labelAnnotations": [
{ "mid": "/m/0hhrcvd", "description": "frankfurter würstchen", "score": 0.9645994 },
{ "mid": "/m/01b9xk", "description": "hot dog", "score": 0.9400299 },
{ "mid": "/m/0kdzn", "description": "sausage", "score": 0.93496704 },
{ "mid": "/m/09370d", "description": "bockwurst", "score": 0.9349343 },
{ "mid": "/m/01sn4c", "description": "kielbasa", "score": 0.9139112 },
{ "mid": "/m/079yjd", "description": "knackwurst", "score": 0.8636358 },
{ "mid": "/m/03f7_0", "description": "bologna sausage", "score": 0.8028193 },
{ "mid": "/m/038rz", "description": "german food", "score": 0.76827973 },
{ "mid": "/m/04pfxj", "description": "cervelat", "score": 0.7612521 },
{ "mid": "/m/06l9l9", "description": "vienna sausage", "score": 0.7339414 },
● Label Detection
● Explicit Content Detection
● Logo Detection
● Landmark Detection
● Optical Character Recognition
● Face Detection
● Image Attributes
● Web Detection

17. Cloud Vision API
https://github.com/carlosazaustre/pixelscamp-firebase-ml
https://hotdog-e27b2.firebaseapp.com/