> For the complete documentation index, see [llms.txt](https://docs.sensecrypt.com/opencv-face-recognition-server/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sensecrypt.com/opencv-face-recognition-server/use-cases.md).

# 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 [<mark style="color:red;">**Face Search (1:N, N:N)**</mark>](/opencv-face-recognition-server/publish-your-docs/face-search.md) and [<mark style="color:red;">**Face Compare (1:1)**</mark>](/opencv-face-recognition-server/publish-your-docs/liveness-detection.md), both features provide options to enable **Liveness Detection**.&#x20;

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.

***

### **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:**

* &#x20;**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.<br>

#### **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.

***

### **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.
* &#x20;**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.&#x20;
3. If both Face Recognition and Liveness Detection pass, the system approves the action (e.g., enrolls the user, confirms identity, or logs attendance).

***

### **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.&#x20;