Design a Face Recognition System

Functional Requirements:

• User Authentication:
  • The system should accurately identify and authenticate users based on facial recognition.
• Image Capture and Processing:
  • Capture images from various sources (e.g., webcam, mobile camera) and process them for recognition.
• Real-time Recognition:
  • Provide real-time face recognition capabilities for immediate user feedback.
• Multi-Face Detection:
  • Detect and recognize multiple faces in a single image or video frame.
• User Enrollment:
  • Allow users to enroll their facial data into the system securely.
• Access Control:
  • Grant or deny access based on recognition results.
• Logging and Monitoring:
  • Maintain logs of recognition attempts and outcomes for auditing purposes.
• Integration with Existing Systems:
  • Seamlessly integrate with existing security and user management systems.

Non-Functional Requirements:

• Accuracy:
  • Achieve a high level of accuracy in face recognition, minimizing false positives and negatives.
• Performance:
  • Ensure low latency in recognition processes to support real-time applications.
• Scalability:
  • Support a growing number of users and recognition requests without degradation in performance.
• Security:
  • Protect user data and ensure secure transmission and storage of facial data.
• Privacy Compliance:
  • Adhere to privacy regulations and standards, such as GDPR, regarding biometric data.
• Availability:
  • Ensure high availability and reliability of the system to minimize downtime.
• Usability:
  • Provide an intuitive and user-friendly interface for both end-users and administrators.
• Maintainability:
  • Design the system to be easily maintainable and upgradable.
• Interoperability:
  • Ensure compatibility with various hardware and software platforms.