Explore the PPT to understand the role of AI in facial recognition services and applications of Facial recognition technology.

1. Interesting Facts on Facial
Recognition Using Artificial
Intelligence

2. Facial recognition, a subset of artificial intelligence (AI), revolutionizes how we identify individuals
by analyzing and recognising unique facial features. Often confused with facial detection, which
focuses on identifying the presence of faces in images or videos, facial recognition services go a
step further, identifying specific individuals by comparing facial patterns against a database.
Understanding its workings, technological strides, and applications showcases its transformative
potential.
Introduction

3. Facial Recognition vs. Facial Detection
● Facial recognition services involve analyzing facial features to match
and identify individuals by comparing facial data against a database,
enabling personalized identification and authentication.
● Facial detection involves locating and outlining faces within an image or
video.

4. 01
02
03
04
Face Detection:
Identifying and locating
faces within an image or
video.
Feature Extraction:
Capturing facial
landmarks and unique
features like distance
between eyes, nose
shape, etc.
Feature Matching:
Comparing extracted
features with existing data
to find a match.
Recognition/Verification:
Verifying the individual's
identity based on the
matched features.
Steps of Facial Recognition

5. Software for Facial Recognition
● OpenCV: An open source computer vision and machine
learning software library. It facilitates facial recognition and a
broad array of image-processing tasks. Developers can craft
customised solutions using its extensive algorithm collection.
● Amazon Rekognition: An AWS based service that provides a
comprehensive suite of AI-powered features, including facial
analysis, emotion detection, and facial recognition. Its robust
API allows seamless integration.
Facial identity recognition service providers use several software options that
leverage AI for facial recognition including:

6. ● Microsoft Azure Face API: a cloud based service with advanced
machine-learning algorithms.
● Kairos: a software offering a diverse range of facial recognition
services.
● Face++: a robust facial recognition platform renowned for its
accuracy and speed.
● Cognitec: specializes in face recognition technology, providing
high performance algorithms.

7. 01
02
03
04
Security and law
enforcement: identifying
suspects and enhancing
surveillance systems
Retail: enabling
personalized customer
experiences
Healthcare: assisting in
patient identification and
access control
Unlocking smartphones
and securing sensitive data
Applications

8. 01
02
03
More reliable for various
applications
The Technology of the Future
Advancements in AI
algorithms and hardware
will refine accuracy and
speed
Ethical considerations
regarding data privacy and
bias mitigation will shape its
evolution

9. Conclusion
● Facial recognition is an AI driven technology for identification and authentication
● Distinguishing it from facial detection involves intricate steps of detection, feature
extraction, matching, and verification
● Applications span diverse sectors like security, retail, healthcare, and more
● Future holds promise with enhanced accuracy, speed, and ethical considerations driving
its trajectory

10. Thank you for your time 😊