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Face Recognition
Face Verification For Exams

Face Verification For Exams

Verify student ID by comparing face images

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What is Face Verification For Exams ?

Face Verification For Exams is a face recognition tool designed to verify the identities of students during online or in-person exams. It ensures academic integrity by comparing the student's face with the photo on record, preventing impersonation and maintaining the security of the examination process.

Features

• Real-Time Verification: Instant face matching to ensure quick and accurate ID checks.
• AI-Powered Accuracy: Uses advanced algorithms to detect and prevent fraudulent attempts.
• Database Integration: Compares student faces with pre-uploaded ID photos for verification.
• Anti-Spoofing Technology: Detects and rejects photos, masks, or other fraudulent methods.
• Seamless Integration: Works with various exam platforms and learning management systems.
• User-Friendly Dashboard: Provides exam administrators with real-time monitoring and verification results.

How to use Face Verification For Exams ?

  1. Register Students: Upload students' ID photos and exam credentials to the system.
  2. Initiate Verification: Before the exam begins, ask students to log in and enable their webcam.
  3. Face Scan: The system captures a live face scan and compares it with the stored ID photo.
  4. Result Notification: The system displays a verification result (Match or No Match) to the administrator.
  5. Proceed with Exam: If verified, the student is granted access to the exam.

Frequently Asked Questions

What happens if a student’s face doesn’t match their ID photo?
If the face scan does not match the ID photo, the system flags it as a No Match, and the administrator can take further action, such as contacting the student or blocking exam access.

Is my data secure?
Yes, all data is encrypted and stored securely to protect student privacy and comply with data protection regulations.

Can the system be bypassed using photos or masks?
No, the system includes anti-spoofing technology that detects and rejects photos, masks, or other fraudulent methods.

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