Smart Attendance System
Aakanksha Mishra Student, Information Technology
Maharaja Agrasen Institute of Technology Delhi,India
aakanksha4211@gmail.com
Kartikey Bhardwaj Student, Information Technology
Maharaja Agrasen Institute of Technology Delhi,India
kartikeybhardwaj14@gmail.com
Vibhor Sharma Assistant Professor,
Maharaja Agrasen Institute of Technology Delhi,India
vibhor.sharma@mait.ac.in
Abstract— Face is the crucial part of the human body that uniquely identifies a person. The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before.
This research paper presents a novel approach to the problem of attendance tracking using computer vision and the OpenCV library. The proposed system uses a camera to capture images of students as they enter a classroom or a designated area, and processes these images using a combination of face recognition and object detection algorithms to identify and track individual students. The system is designed to be efficient, accurate, and easy to use, with a user-friendly interface that allows instructors to quickly view attendance records and monitor student behavior in real- time.
The paper provides a detailed description of the system architecture and the various algorithms used to implement it, along with a thorough analysis of its performance under different scenarios. The results demonstrate that the proposed system is capable of accurately tracking student attendance with a high level of precision, even in challenging environments with poor lighting and occlusions.
Overall, this research offers a promising solution to the problem of attendance tracking, with potential applications in a wide range of educational settings. The system's use of open- source software and readily available hardware makes it both affordable and accessible to a wide range of users, while its advanced features and robust performance make it an ideal choice for institutions seeking to streamline their attendance management processes.face recognition which will be converted into text or excel file.
