Face Recognition

Face Recognition System

Description:

This project implements a real-time Face Recognition System using computer vision and machine learning techniques. It can detect and recognize human faces from a live webcam feed or image input with high accuracy. The system is designed to be lightweight, efficient, and easy to use for applications such as access control, attendance systems, and identity verification.

Key Features:

Real-time face detection and recognition

Face encoding and comparison

Ability to add and train on new faces

Easy-to-use interface

High accuracy and performance

Technologies Used:

Python

OpenCV

face_recognition (dlib-based library)

NumPy

Tkinter (for GUI, if included)