EvolveFaceAi 5

The worlds first multiple face detection AI camera up to 5 people.

Face recognition access control systems use facial biometrics to identify individuals, allowing or restricting access based on stored data. Here are the main types:

1. 1:1 Face Verification (Authentication)

• Compares the captured face to a specific, pre-enrolled image or database entry (e.g., matching an employee’s face to their stored profile).
• Commonly used in environments requiring a known individual, like employee access control systems.

2. 1

Face Identification (Recognition)

• Scans the face and searches within a large database of images to find a match.
• Useful in places where users are not pre-registered but need access, such as public transport or retail.

3. Face Detection Only

• Simply detects the presence of a human face without identifying or verifying the person.
• Used as a first layer in multi-factor access systems, or to trigger further authentication methods.

4. Liveness Detection

• Ensures that the captured face is from a live person, not a photo or video.
• Uses techniques like blinking or facial movement detection and is often layered with other face recognition types to prevent spoofing.

5. Thermal & Depth Mapping Face Recognition

• Combines face recognition with depth or thermal imaging to verify the 3D structure of a face.
• Often found in high-security environments, as it’s more resistant to spoofing techniques using 2D images.

6. Emotion-Based Recognition

• Analyzes emotions or expressions alongside identity verification.
• Less common but sometimes used for customer interaction feedback in retail or monitoring access control environments for signs of stress.

7. Cloud-Based Face Recognition Access Control

• Stores face data in a cloud server, allowing cross-location access and management.
• Allows remote monitoring and management, often used in large enterprises or smart city applications.

8. Offline Face Recognition Systems

• Operates without requiring internet access, with all data stored locally.
• Ideal for high-security areas or places where connectivity is unreliable or undesirable for security reasons.

9. Hybrid Access Control Systems

• Combines face recognition with other biometric methods like fingerprints or iris scanning.
• Useful for multi-layer security in highly controlled access environments (e.g., labs, banks).

Each type of face recognition access control serves a unique purpose based on security needs, environment, and privacy considerations.