Face recognition access control uses facial features to grant or deny access to restricted areas or systems. The process begins with a camera capturing an image or video of the person attempting to gain access.
The system detects the face and extracts key features, such as the shape of the eyes, nose, and mouth, to create a unique embedding. This embedding is then compared to a database of authorized users. If the embedding matches an entry in the database within a certain similarity threshold, access is granted.
Modern systems often integrate with IoT devices or security frameworks to unlock doors, log entries, or trigger alerts. Some advanced implementations also include liveness detection to prevent spoofing attempts using photos or videos.
Face recognition access control is used in offices, airports, and secure facilities to enhance security and improve convenience. However, it requires robust data protection measures to address privacy concerns and ensure compliance with regulations like GDPR.