This document discusses face unlocking technology in smartphones. It begins by introducing face unlocking and how it works, using facial recognition algorithms, AI and hardware to capture a user's image and compare facial features to authenticate identity. It then discusses types of face recognition including 2D and 3D methods and applications like smartphones, payments and security. Future trends are explored like enhanced security, wearables, emotion recognition and health applications. The conclusion emphasizes how face unlocking has replaced traditional methods while balancing security and user experience.
Face recognition is a biometric technology that goes beyond just detecting human faces in an image or video. It goes a bit further to determine whose face it is. A face recognition system works by taking an image of a face and predicting whether the face matches another face stored in a dataset (or whether a face in one image matches a face in another). Created By Suman Ahemed Saikan
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
Face recognition is a biometric technology that goes beyond just detecting human faces in an image or video. It goes a bit further to determine whose face it is. A face recognition system works by taking an image of a face and predicting whether the face matches another face stored in a dataset (or whether a face in one image matches a face in another). Created By Suman Ahemed Saikan
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
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2. 1.Introduction to Face Unlocking
2.How It Works
3.Types and Applications
4.Future Trends
5.Conclusion
Topics to be discussed
3. 1.FaceUnlocking
Face unlocking uses facial recognition algorithms, AI, and
hardware for seamless, secure access to devices,apps,etc.
This process is powered by Artificial intelligence.
4. 01
2.How it works?
Capture Image
A device's camera captures an image of the user's face when they
attempt to unlock it.
5. Complex algorithms analyze key facial features, such as the
arrangement of eyes, nose, and mouth, creating a unique facial
signature.
02 Facial Recognition Algorithms
6. 03 Database Comparison
The generated facial signature is compared to a pre-existing
database of authorized users' facial signatures.
7. If there is a match, the user is authenticated, granting access to the
device, application, or space.
04 Authentication
8. 3.Types &Applications
2D FaceRecognition
Relies on analyzing a flat
image of the face.
Less secure compared to 3D
methods.
Commonly used in early
implementations.
3D FaceRecognition
Utilizes depth information, often
using infrared sensors.
Offers enhanced security by
mapping the three-dimensional
contours of the face.
Provides improved accuracy
compared to 2D methods.
9. Smarphones and laptops
Widely used for unlocking mobile
devices, ensuring convenient and secure
access.
Health and Wellness
Explored for health monitoring, detecting
signs of stress or fatigue through facial
analysis.
10. Payment Authentication
Utilized in secure financial transactions,
providing an additional layer of
authentication.
Airport Security
Used for identity verification in airport
security processes, enhancing efficiency.
11. 4.Future Trends
Enhanced Security Measures
Integration with Wearable Devices
Emotion Recognition
Multi-Modal Biometrics
Health and Wellness Applications
12. 5.Conclusion
The journey of face unlocking technology has been one of
remarkable innovation and transformation.
Replaces traditional methods.
Balancing Security and User Experience.
Enhanced Security.
Widespread Adoption.
