Face-Recognition-System

Introduction

The Face Recognition System is a Python application that utilizes computer vision and deep learning techniques to detect faces in real-time video streams and provide additional information about recognized individuals using Firebase as a backend database and storage solution.

Stage 1

Stage 2

Stage 3

Check out this video demo of the project in action: Watch Demo

Features

• Real-time face detection & recognition using OpenCV and face recognition using the face_recognition library.
• Integration with Firebase for user data storage and retrieval.
• Displaying user information (name, age, gender and photo) upon face recognition.
• Customizable background and overlay modes.

Technologies

• Python 3.11.5
• OpenCV (cv2)
• face_recognition library
• cvzone
• Firebase:
  • Firebase Admin SDK
  • Firebase Realtime Database
  • Firebase Cloud Storage