Attendance Monitoring System using Facial Recognition

Attendance Monitoring System using Facial Recognition

Mrs. Y. U. Kadam, Aditya M. Suryawanshi, Sejal P. Pathak, Sakina M. Modi

Department of Computer Technology
K. K. Wagh Polytechnic, Nashik, India

Abstract - Efficient and reliable attendance monitoring remains crucial in today's educational landscape, facing new challenges alongside traditional concerns. Existing methods, like roll calls and paper-based systems, prove time-consuming and inefficient. To address these limitations and promote environmental sustainability, we propose an "Attendance Monitoring System using Facial Recognition" developed with Tkinter.This innovative application levecrages facial identification technology to streamline the attendance process. It not only enhances efficiency but also contributes to environmental responsibility by minimizing paper usage. Furthermore, the system incorporates facial recognition as a biometric authentication method, combating the issue of attendance manipulation. This technology is particularly well-suited for educational institutions where accurate attendance data is essential. This project represents a significant advancement in attendance management, bridging the gap between technological innovation and educational needs. By automating the process and ensuring accuracy, this system has the potential to positively impact the educational landscape.

keywords:

Python 3.8, MySQL, Tkinter