Face checking, often called Face Check, is a privacy-respecting facial matching technology used by organizations for secure and high-assurance verifications. It ensures that a user is who they claim to be by comparing a live selfie with a previously captured photo, adding a critical layer of trust. The matching process is powered by advanced AI.
How Face Check Works
- Selfie Capture: A user takes a real-time selfie using their device's camera.
- Photo Comparison: The selfie is then compared to a reference photo. This could be an identity document photo or another previously captured image.
- AI-Powered Matching: Azure AI services perform the facial matching to determine if the two images represent the same person.
- Verification: If the match is successful, the user is verified. This process is completed simply and at scale.
Key Benefits of Face Check
| Benefit | Description |
|---|---|
| Privacy Respecting | Ensures that the facial matching process is conducted securely and with user privacy in mind. |
| High-Assurance Verification | Provides a high level of confidence in user identity verification. |
| Scalability | Easily implemented and scaled to handle large user bases. |
| Simplicity | Offers a straightforward user experience. |
| Trust Building | Enhances trust by ensuring the user matches their provided identification. |
Practical Applications
Face check is useful across different scenarios:
- Identity Verification: Verifying an individual’s identity during account creation or sensitive transactions.
- Access Control: Securely granting access to physical locations or digital resources.
- Fraud Prevention: Reducing instances of identity theft and fraud.
- Remote Onboarding: Enables remote user onboarding processes with confidence.
By leveraging advanced AI capabilities, face checking streamlines identity verification while prioritizing user privacy and security.
