ARCHIVES

Case Study

Face Recognition based Attendance System

Mahesh Basavaraj, Mohith P1 Sai Vrushabh R2 Shashank K Bharadwaj3
1234 Dayananda Sagar Academy of Technology and Management, Bengaluru, Karnataka, India.

Published Online: May-August 2025

Pages: 295-299

Abstract

Face recognition technology is widely utilized for identity, security, and authentication in a variety of sectors in the digital age. [12] Although it might not be as accurate as fingerprint or iris recognition, its non-intrusive and contactless nature makes it popular. Automated attendance marking in companies and educational institutions is a crucial application that addresses manual system inefficiencies including time consumption and proxy attendance. The four steps of this system are database building, face detection, face recognition, and attendance updating. It uses facial recognition to automate attendance. Real-time video streaming is employed for detection and recognition, and a student image database is established. The faculty is then automatically emailed with the attendance. [1].

Related Articles

2025

Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions

2025

Exploring AI Techniques for Quantum Threat Detection and Prevention

2025

Maturity Models for Business Intelligence: An Overview

2025

INSPIRO: An AI Driven Institution Auditor

2025

Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems

2025

Predictive Modeling for College Admission Using Machine Learning and Statistical Methods

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20250402044

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.