Use Cases

OpenCV FR supports a wide range of use cases

Face Recognition Use Cases

Seventh Sense's Face Recognition API provides a powerful and scalable solution for a wide range of applications. The solution offers Face Search (1:N, N:N) and Face Compare (1:1), both features provide options to enable Liveness Detection.

Below are key use cases for each feature:

1. Face Search (1:N, N:N) – Identify a person from a collection/database

Face Search allows the identification of individual(s) by searching their face against a database of enrolled users.

Sample Use Cases:

• Automated Attendance Checking – Verify and record employee/student attendance without requiring manual check-ins, reducing fraud and streamlining workforce management.

• Customer Onboarding – Match a new customer’s ID photo, face and/or photo against an ID database to prevent identity fraud.

• Smart Access Control – Grant access to employees or VIPs by registering and verifying their faces.

• Law Enforcement & Security – Identify persons of interest from CCTV footage.

• Casino Security & VIP Player Identification – Identify known fraudsters, excluded gamblers, or VIP guests in real time to enhance security.

How It Works:

1. User submits an image with single or multiple faces

2. The system searches for match(es) in the database

3. If matches are found, the system returns the identified person(s) with a confidence score.

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2. Face Compare (1:1) – Verify if two faces belong to the same person

Face Compare allows the authentication of identities by comparing two face images and determining if they are the same person.

Use Cases:

• eKYC & Identity Verification – Match a user’s selfie with their government-issued ID photo to authenticate identity during onboarding.

• Passwordless Authentication & Secure Logins – Replace traditional passwords with facial authentication for secure app access.

• Border Control & Travel – Compare a traveler’s live face with their passport or visa photo for automated identity verification.

• Payment & High-Value Transactions – Verify users for banking transactions to prevent fraud.

How It Works:

1. User provides two face images.

2. The system computes a similarity score.

3. If the score is above a predefined threshold, the faces are considered a match.

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3. Liveness Detection – Prevent spoofing & identity fraud

Liveness Detection ensures that the face being analyzed belongs to a live person, not a photo, video, or 3D mask.

Use Cases:

• Remote Attendance Checking – Ensure employees, students, or participants are physically present during check-ins, preventing fraudulent logins using photos or videos.

• eKYC & Identity Verification – Prevent identity fraud by ensuring that a real person is taking the selfie during onboarding.

• Fraud Prevention in Fintech & Banking – Block fraudulent transactions by ensuring a live user is making a request, not a deepfake or stolen photo.

• E-Government Services – Secure digital identity verification for national ID programs and voting systems.

• Online Exam Proctoring – Verify student presence in remote exams and prevent cheating using pre-recorded videos or fake faces.

How It Works:

1. User submits a photo for Liveness Detection as part of one of the following functions: Person Enrollment, Face Search (1:N), or Face Compare (1:1).

2. The system performs Liveness Detection alongside Face Recognition to verify identity and ensure the user is physically present.

3. If both Face Recognition and Liveness Detection pass, the system approves the action (e.g., enrolls the user, confirms identity, or logs attendance).

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Why Choose Seventh Sense?

✅ Top ranked on NIST, no need for expensive GPUs. ✅ Fast setup, easy deployment in minutes. ✅ Works efficiently with millions of Faces. ✅ Privacy-first & GDPR-compliant.