Firebase is a mobile and web application development platform that provides backend services and was acquired by Google in 2014. It now has 18 products used by 1.5 million apps. Firebase ML Kit is a mobile SDK that uses Google's machine learning expertise to add features like text recognition, face detection, and custom model deployment to Android and iOS apps with just a few lines of code. Key capabilities of ML Kit include production-ready APIs for common use cases, on-device or cloud processing, and deploying custom TensorFlow Lite models.

2. What is
Firebase ?
Mobile and web
application
development platform
Developed by Firebase
Then acquired by Google in
2014
Now Firebase platform
has 18 products, which are
used by 1.5 million apps

3. Services

4. What is Firebase
ML kit ?
ML Kit is a mobile SDK
that brings Google's
machine learning
expertise to Android
and iOS apps in a
powerful yet easy-to-
use package.
Whether you're new
or experienced in
machine learning, you
can implement the
functionality
you need in just a few
lines of code.
There's no need to
have deep knowledge
of neural networks or
model optimization to
get started.
On the other hand, if
you are an
experienced ML
developer, ML Kit
provides convenient
APIs
that help you use your
custom TensorFlow
Lite models in your
mobile apps.

7. Key
Capabilities
Production-ready for common
use cases
On-device or in the cloud
Deploy custom models

8. Production-
ready for
common use
cases
ML Kit comes with a set of ready-to-use APIs for
common mobile use cases
No need to write separate functions for ML
No need to train data sets
Only you need to call the firebase APIs by giving the
suitable parameters.
It will reduce your time.

9. On-device or
in the cloud
On-device APIs run on-device or in the
cloud.
Process data quickly.
Work even when there’s no network
connection.
Cloud-based APIs, higher level of accuracy.
But need internet connection.

11. Deploy
custom
models
If ML Kit's APIs don't cover your
use cases, you can always bring
your own existing TensorFlow Lite
models.
Just upload your model to
Firebase, and they'll take care of
hosting and serving it to your app.
ML Kit acts as an API layer to your
custom model, making it simpler to
run and use.

12. What features are available on device or in the
cloud?

13. Implementation
path
Integrate the SDK
Prepare input data
Apply the ML model to your
data

14. ML Text Recognition

15. ML Text
Recognition
Recognise and extract text from images Can even keep track of real-world
objects, such as
reading the numbers on trains
Tracking vehicle numbers
Getting credit card details

16. Choose between on-device and Cloud APIs

17. Blocks, Lines, and Elements
• Block is a contiguous set of text lines, such as a paragraph or column.
• Line is a contiguous set of words on the same vertical axis.
• Element is a contiguous set of alphanumeric characters on the same
vertical axis.
Hello
Welcome to the
Team Apptology
Welcome to the Welcome
Block 0 Line 1 Element 0

18. Implementation

19. ML Face Detection

20. ML Face
Detection
The ML Kit’s Face Detection API provides the
following key capabilities.
Recognize and locate facial features
Get the contours of facial features
Recognize facial expressions
Track faces across video frames

21. Recognize and locate facial features

22. Contours of facial features

24. Classification
ML Kit currently supports
two classifications: eyes
open and smiling.

25. Implementation