Face Recognition

Real-Time Face Recognition System

Developed a real-time face recognition application using Python and artificial intelligence technologies. The system uses a webcam to detect and recognize faces instantly with high accuracy.

Key Features:

* Register new faces through the webcam

* Real-time face detection and recognition

* Support for recognizing multiple faces simultaneously

* Display person name, date, and time directly on the video feed

* Automatically identify unknown faces

Technologies Used:

* Python

* OpenCV

* InsightFace

* NumPy

Project Overview:

The system extracts facial embeddings using InsightFace and compares detected faces with stored data using cosine similarity to identify individuals in real time. Face data is securely stored as embedding files for fast and efficient recognition.

This project demonstrates practical experience in computer vision, artificial intelligence, and real-time video processing.