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. Bringing state-of-the-art AI to the enterprise
Retail
Financial
Services
Manufacturing Healthcare &
Life Sciences
Government
Media &
Entertainment
Technology
Energy
GamingMarketing

4. AI building blocks
Sight Language
AutoML Video Intelligence AutoML Translation
Conversation Structured Data
Vision API including
Vision Product Search
Natural Language API
Dialogflow
Enterprise Edition
AutoML Tables
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

5. Two types of AI building blocks
API
Pre-trained ML models
AutoML
Custom ML models
Leverage Google’s predefined dataset to automatically
detect a vast number of objects, landmarks, logos, etc.
No model training required
Train your own custom model with labels you
define with an easy-to-use graphical interface
No coding required

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. 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

8. A small team empowers 38 media brands
MEDIA & ENTERTAINMENT
Reduced cost and the need to rely on
outside vendors
Enabling marketing, ad, sales teams and
more to take full advantage of all content
With just 7 people, CBS Interactive is using Video,
Natural Language, and Vision APIs to serve 38 digital
media brands with content discovery and
recommendation solutions.

9. 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

10. Use-case
● TBD

12. ● 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
● supports multi-region clusters
● sharding option for high-throughput
● managed backups
● Free Tier available on Google Cloud Platform

13. Demo
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.
● TBD

14. Demo

15. Let’s review...
● TBD

16. Can I try this out myself?...
Find all code and steps for this demo
here:
Or visit cloud.google.com/community and search for “MongoDB”
https://cloud.google.com/community/tutorials/mongodb-atlas-appengineflex-nodejs-app

17. Next steps...
01
Visit us at our booth
Chat with our team, learn
more about GCP + Atlas
02
Sign up for a new GCP
account and get
credits
Get a 12-month, $300 credit
free trial 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

18. 18
Thank you

19. 19
[End of Slides]

20. 04
Vision AI
Solutions

21. Document Understanding AI
You have a goldmine of documents that is
hard, expensive or impossible to tap into.
Document Understanding AI lets you easily
and cost-effectively extract valuable
insights from your documents.

22. Process documents & extract insights automatically
See what’s there
01
Make it useful
03
Understand it
02

23. Detecting objects and
understanding language
within documents

24. Document Understanding AI:
How it works

25. Image Search:
How it works

26. Ensures
privacy &
compliance
Engage customers in new and exciting ways
Enable shoppers to find products simply by sharing a photo
Help reduce friction with product search and purchase
Empower retail sales associates with information
Detect multiple products in one image
Additional use cases
Enhance recommendations for similar and complementary products
Analyze style trends and competitive pricing
Vision Product Search

27. Vision Product Search:
How it works
Customer uploads image