Build a Face Recognition System Using FaceNet in Python

This project is designed to detect and identify faces in images, making it ideal for security systems and access control. It extracts face embeddings for reliable identification and uses cosine similarity to compare faces, enabling real-time face recognition for surveillance, photo organization, and social media applications.

• Detects faces in images, ideal for security systems.

• Extracts face embeddings for reliable identification.

• Compares face embeddings for access control and security.

• Uses cosine similarity for facial recognition on social media.

• Searches folders for similar faces, useful for photo organization.

• A customizable threshold for accurate identity verification.

• Prepares data for facial recognition applications.

• Improves accuracy with data augmentation techniques.

• Enables real-time face comparison for surveillance.

• Scales to handle large datasets for big security systems.