Project Overview 🚀

Welcome to my face recgonition attendance system project! Below, you'll find details about the languages, libraries, and features integrated into our professional-grade solution.

Language and Libraries Utilized 📚

Language

• Python

Libraries

• cv2 (OpenCV)
• cvzone
• numpy
• face-recognition
• pickle

Features 🌟

Firebase Real-time Database Connection

• Enables seamless updates of student details without delay.

Encodings Generator

• Facilitates storing and retrieving known face encodings within Firebase storage.

Time Elapsed Recognition

• Ensures students cannot consecutively take attendances within a specified time limit.

Accurate Student Detail Display

• Delivers precise information for each recognized student upon facial recognition.

Usage Examples 📝

Here are some illustrative examples of our solution's functionality:

• Utilize OpenCV and face-recognition for robust facial recognition tasks.
• Employ Firebase Real-time Database for instant and reliable data updates.
• Leverage numpy for efficient numerical computations.
• Enhance OpenCV capabilities with cvzone for interactive and polished overlays.
• Manage known face encodings with pickle for streamlined data handling.