Intelligent-Face-Recognition-Attendance-System and Attendance_System_using_Face_Recognition

Both projects offer similar face recognition attendance systems, making them direct competitors; project A is a more comprehensive and popular choice for university settings, while project B focuses on employee attendance through a web browser.

Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 12/25
Stars: 68
Forks: 28
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: HTML
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Intelligent-Face-Recognition-Attendance-System

turhancan97/Intelligent-Face-Recognition-Attendance-System

This project is a comprehensive face recognition-based attendance system for universities. It leverages OpenCV for face detection and recognition, Firebase for data storage, and Flask for the web interface. The system allows for student registration, face capture, and attendance tracking, providing a modern solution for attendance management.

This system helps universities and workplaces automate attendance tracking using facial recognition. You input student or employee images for registration, and the system uses a webcam to identify individuals, marking their attendance in real-time. This is ideal for administrators and teachers to efficiently manage attendance records.

attendance-management education-administration workplace-operations access-control student-management

About Attendance_System_using_Face_Recognition

harshd23/Attendance_System_using_Face_Recognition

The purpose of this Attendance System Using Face System is to record the presence or attendance of employee through a browser by recognizing the faces captured through a webcam. For this record-keeping, a database was built to store the in-time and out-time of the employee.

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