Facial Recognition Project

A Python application for real-time facial recognition using dlib and OpenCV.

Introduction

This project demonstrates real-time facial recognition using the dlib library for face detection, facial landmark detection, and face recognition. It utilizes a pre-trained deep learning model for face recognition and a shape predictor model for facial landmark detection.

Features

• Real-time face detection and recognition from webcam feed.
• Matches detected faces with a known face for recognition.
• Adjustable threshold for recognition accuracy.

Installation

1. Install Required libraries by running this code in your Terminal. pip install opencv-python dlib numpy

2. Clone the repository:

   $ git clone https://github.com/therohanrathee/FaceRecon.git
   $ cd FaceRecon
   
   
   

Usage

1. Add/Replace the "known_face.jpeg" with your own image which has a face clearly distinguishable.
2. Ensure to rename the image file as known_face.jpeg.
3. Ensure that the Image is in the same directory as the code
4. Run the Code