Attendance Alerts – Timely Notifications for Late Arrivals
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
The Attendance Alert system is an advanced attendance management solution designed to streamline and enhance the efficiency and educational institutions. Leveraging facial recognition technology, this system automates the process of identifying students and recording their attendance, eliminating the need for manual entry and reducing human error. At its core lies a sophisticated facial recognition algorithm that analyses images captured by a camera to recognize and verify student identities. Additionally, the Attendance Alert system incorporates an email notification feature, which proactively communicates a student's attendance status directly to them, fostering a line of communication between the institution and students. The system prioritizes simplicity and ease of use. It requires minimal hardware setup, consisting of a standard camera and a device capable of running the facial recognition software. The software itself is built using widely accessible programming languages and libraries, making it cost-effective and easily maintainable. Furthermore, the system offers the capability to generate customized reports for analyzing attendance trends and patterns. These reports provide valuable insights for administrators and educators, informing decisions related to curriculum planning, student engagement, and resource allocation. The Attendance Alert system is a modern, reliable, and user-friendly solution that streamlines the attendance management process in educational settings. Its integration of facial recognition technology, automated reporting tools, and attendance status notification positions it as a valuable asset for any institution seeking to improve its attendance tracking methods
Authors and Affiliations
K Gopala Reddy, S Bhanu Tejaswini, B Ramanjaneyulu, P Arun Sai, S Vijaya Lakshmi
Keywords
Related Articles
- EP ID EP747899
- DOI https://doi.org/10.46501/IJMTST1009020
- Views 3
- Downloads 0
Unlocking Potential: Enhancing Parking Efficiency Through Automatic Vacancy Detection using IoT
Nowadays, the majority of individuals living in urban areas heavily rely on cars. Consequently, parking for automobiles has become a crucial aspect of our daily routines. Despite the prevalence of manual parking systems,...
AI Driven Technological Drift in Interactive Learning
AI and ML technology are changing how people learn in both education and professional growth. Our approach integrates AI-driven study schedules, resume tracking, student performance analysis, and discussion facilitation...
Optimized Academic Schedule Creator for Android Devices
This project provides students, faculty, and administrators a comprehensive platform to manage academic schedules seamlessly. Students and faculty can register and log in, identifying themselves as students or faculty me...
Effective Kyphosis Disease Prediction Using Machine Learning Algorithms
Kyphosis is the term used to describe the inward arching of the upper back. This specific ailment is sometimes referred to as"round back" or “hunchback” if there is a noticeable curvature. Kyphosis often occurs due to we...
Optimal Cascaded Terminal Sliding Mode Controller for third-order DC motor model
Applying Terminal Sliding Mode Control (TSM) for a third-order system is always challenging. Most of the cases, authors use a Cascaded type of TSM (CTSM) to control those systems. But with two separate phases of sliding...