Face Recognition System using Deep Learning Techniques

This project focuses on identifying and verifying individuals based on facial features using deep learning techniques. The system can recognize faces from images or video streams and match them with a database of known individuals.

Features

• Accurate face detection and recognition using deep learning models.
• Real-time face recognition from live video streams or static images.
• Ability to match faces against a pre-defined database of known individuals.
• User-friendly interface with real-time feedback on recognition results.

Installation

To set up the face recognition system on your local machine, follow these steps:

1. Clone the Repository

   git clone https://github.com/username/face-recognition.git
   cd face-recognition

2. Set Up Virtual Environment (Optional but Recommended)

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Required Packages

   pip install -r requirements.txt

Usage

To start the face recognition system, run the main script with the desired input:

python face_recognition.py --input  --database