Basics of the technology
Face recognition is a computer vision technology that uses optical input to analyse faces in images. The system works in two main steps: first, it captures and analyses the facial image, and then compares it with an existing database.
Mechanism of operation
The face recognition process:
The system captures an image
AI software creates a unique face template by analysing the geometry of the face
The face template is created by a computer by using facial recognition technology.
Determines a possible match
Historical evolution
Face recognition has evolved significantly:
1980s:
The development of the Eigenfaces method revolutionized the technology by identifying efficient facial recognition patterns6.
2000s:
The FERET program standardized the evaluation of face recognition algorithms6.
2010s:
The DeepFace system achieved 97% accuracy, approaching human performance
Areas of application
Security applications:
Protection of airports and government facilities
Support for law enforcement missions
Operation of access control systems
Commercial use:
Unlocking smartphones
Customer service quality measurement
Personalized shopping experience
Challenges and limitations
Face recognition systems face several critical problems:
Significant error rates for certain demographic groups
Security vulnerabilities in 3D-printed mask
Privacy and privacy concerns
Privacy and security concerns
The European Union is considering strict regulation:
A 3-5 year ban on public facial recognition systems
Mandatory data protection impact assessment
Specific protection of biometric data
Future perspectives
Further advances in technology are expected:
Development of artificial intelligence and machine learning
More accurate and reliable recognition algorithms
New applications in commerce and services
