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 61
- Downloads 0
The Role of Forces in Engineering Applications: Friction, Gravity, and Tension-A Review
The role of forces in engineering applications: friction, gravity, and tension. Friction, gravity, and tension are forces commonly used in engineering. It is important to be able to identify each type of force acting on...
Advances in NLP: Exploring Transformative Techniques and Real-World Applications
Natural Language Processing (NLP) has undergone significant advancements, leading to innovative methods and applications across various domains. Cutting-edge techniques like Transformers, Generative Adversarial Networks...
Unattended Object Identification
For detecting/finding unattended objects in consume world such a bus stops, railway stations, airports, museums and reception counter is important. There are multiple security persons are employed and multiple CCTV camer...
Optimizing Disposal Efficiency Through Sensor-Based Automatic Dumping
Now a days with the increase in the population of India one issue which comes as a repercussion is the generation of waste. The project involves building a smart bin using an Arduino Uno board as the microcontroller-base...
Prediction of Diabetes in Early Stage through Machine Learning
The goal of this project is to create a system that uses machine learning to forecast the early signs of diabetes. Diabetes is a widespread, long-term condition with serious health consequences, and spotting it early is...