Face Detection Attendance System
Rohan Roundhal
, Vijay Waghmare , Sujal Mahajan , Nida Malik , Santosh Kamble
—facial recognition, attendance system, machine learning, OpenCV, automation, biometrics, contactless, computer vision
Abstract—Face Detection Attendance System is an innovative
solution designed to automate and streamline the attendance
recording process in educational institutions and corporate en
vironments. This system utilises facial recognition technology
to accurately identify individuals and record their attendance
in real-time, eliminating the need for traditional methods like
manual registers or biometric fingerprint scanners. The core
technology behind this system integrates OpenCV, machine
learning algorithms for face detection and recognition, and
database management for storing attendance records. In addition
to enhancing convenience for users, the system also assists
administrators by offering data-driven insights and automated
reporting. This paper examines the development process, key
functionalities, and potential impacts of the Face Detection
Attendance System, emphasising its role in improving atten
dance management and reducing administrative workload. The
increasing need for contactless solutions, particularly in post
pandemic scenarios, highlights the relevance of facial recognition
based attendance systems. This platform enables institutions
to efficiently track attendance, generate insightful reports, and
maintain accurate records through a user-friendly interface and
secure data management protocols.
Volume 12
Issue 4,
April-2025
Pages : a963-a969
Paper Reg. ID: TIJER_157628
Published Paper Id: TIJER2504136
Downloads: 000280
Research Area: Science and Technology
Country: Mumbai , Maharashtra, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
