/facial-recognition

A Django project implementing face recognition and image comparison features. This project utilizes the face_recognition library for facial analysis and the imagehash library for image comparison.

Primary LanguageHTML

Face Recognition and Image Comparison

This project implements face recognition and image comparison features using the face_recognition library for facial analysis.

Features

  • Face Recognition: Utilizing the face_recognition library to recognize faces in live camera feed.

Instructions

  1. Clone the repository: git clone https://github.com/nyashaChiza/facial-recognition.git
  2. Install dependencies: pip install -r requirements.txt
  3. Run migrations: python manage.py migrate
  4. Run the application python manage.py runserver

Usage

  1. Open the terminal and navigate to the project directory.
  2. Run the application using: python manage.py runserver
  3. Open localhost:8000 in your browser
  4. The application will use the live camera feed to perform face recognition and image comparison.

Important Note

  • This is a basic example; real-world applications may require additional security measures, compliance with privacy laws, and more advanced image processing techniques.