We will demonstrate how easy it is to use the Google Vision API to gain additional insights from a batch of photos that have no prior metadata attached. By using this workflow, we will be able to quickly build a descriptive metadata database that can be leveraged for a variety of business use-cases.

1. Gaining ML insight with Google
Vision API and MongoDB on
Google Cloud

2. Used across flagship products:
Google is an AI company
Uniqueprojectdirectories
Time

3. Three ways to AI&ML on GCP
Ease of Use
AutoML

4. Three ways for AI&ML on
GCP
Ease of Use
AutoML

5. Perception APIs
Sight Language
AutoML Video Intelligence AutoML Translation
Conversation Structured Data
Vision API Natural Language API Dialogflow
AutoML Vision
for cloud + edge models
AutoML Natural Language Cloud Text-to-Speech Recommendation AI
Video Intelligence API Translation API Cloud Speech-to-Text Cloud Inference API

6. Vision API
Detect popular places
and landmarks
Classify content with
predefined labels
OCR support for
50+ languages
Detect brands and
product logos
Identify products from
your catalog
Identify image
properties (colors, etc.)
Get hints for best
image cropping
Detect faces and
emotions
Moderate explicit
content
Find similar images on
the web
Detect objects and
retrieve coordinates
Extract printed and
handwritten text

7. Box is using Vision API to help their customers
manage and gain insights from their image files, and
speed up image-centric processes and workflows.
TECHNOLOGY
Bringing image recognition and
OCR to cloud content management
Improved extensive content management
for customers in every industry
Intelligent structure for 30 billion files
managed with powerful capabilities
Image source: https://www.box.com/skills

8. Gives journalists a new way to search, access,
and analyze millions of historic photos
NYT digitized more than a century of perishable photographs
and other materials. With the Vision API, Times reporters can
now easily search millions of high-res scans to enhance their
reporting with even more visual storytelling.
Bringing historic content to life
Preserves a priceless chronicle of more than
100 years of events that have shaped our world
MEDIA & ENTERTAINMENT

10. ● end to end security defaults that cannot be
disabled:
○ always-on authentication
○ network isolation for dedicated clusters
○ TLS / SSL
○ encryption for data at rest
○ granular role-based access controls
○ global VPC peering
○ KMS integration for Enterprise customers
● supports multi-region clusters
● continuous backups and managed snapshots
● Unified billing through Google Marketplace
● Free Tier available on Google Cloud Platform

11. Demo
quickly build a descriptive metadata MongoDB Atlas DB running on GCP
See how easy it is to use Machine Learning to gain additional insights from a batch of
photos that have no prior metadata attached.

12. 1. Create and configure MongoDB Atlas Free-Tier cluster on GCP
2. Configure our Google Cloud Platform Account
3. Configure a Node JS application on a GCE Debian VM to use Vision
API (labels, landmarks and safe search)

13. 4. Kick off the batch process from
any web-enabled client terminal
5. Verify our new metadata in both the
console and in our MongoDB Atlas
database

14. What just happened there? Let’s review...
● Created a new free, MongoDB Atlas Free-tier cluster from scratch and configured it
● Created a GCE Debian VM and SSH’d into it remotely with ease, thanks to CloudShell
● Configured API access to our VM
● Opened up port 8080 in the firewall for our server
● Made a multi-regional bucket in GCS and modified the permission for our server
● Configured our VM for Node.js, express and Vision API
● Stood up a web server
● Connected to an external VM IP address
● Leveraged machine learning to recourse a bucket and insert metadata into our Atlas
database
● Spot checked some of the entries in our database
● Did this with the creation of ONLY 3 FILES

15. Can I try this out myself?...
Find all code and steps for this demo
here:
https://cloud.google.com/community/tutorials/mongodb-atlas-visionapi-nodejs
Full URL:
Google Cloud Community Tutorial Site

16. Next steps...
01
Speak to us
Chat with our team, learn
more about GCP + Atlas
02
Sign up for a new GCP
account and get
credits
Get free trial credits when
you sign up for GCP with a
new account.
03
Create a new
MongoDB Atlas
cluster on GCP
Create a free MongoDB Atlas
database on GCP

17. #MDBloca
l
Gaining ML Insight with
Google Vision API and
MongoDB on Google
Cloud
Sam Weeks [Google Cloud]
https://www.surveymonkey.com/r/K6L52LB

18. 18
Thank you