Face Recognition with Real-Time Database

A real-time Face Attendance system, an elegant graphical interface along with a live database (firebase) integrated

Overall features

Introduction
Overview
Setup
- Library Installation: pip install -r requirements.txt
- face_recognition requirements: Install the extension "tools for CMake" in Visual Studio
Webcam
Graphics

Put images background and modes as a main frame application
Encoding Generator

A way to represent the face using a set of 128 computer-generated measurements
Face Recognition

Create a bounding box around the faces using cvzone (more vancy than opencv)
Database Setup

Storage and Real Time Firebase Integrated
Add Data to the Database

Recognized person data
Upload Images to the Database
Download User Data

In order to display data into Graphics
Update Attendance

Iteration of Attendance number
Check if already Marked

Limit attendance number in every 30s
Loading Graphics (cvzone)

Ignoring the lagging while rendering the face

MIT