Facial Recognition Student Attendance System Web Application

Abstract

In the digital era, facial recognition technologies are indispensable in almost every business. Face is one biometric that is commonly used. Acknowledgement. In addition to being helpful for identification, security, and authentication, it offers a host of other advantages. Despite their increased accuracy, fingerprint and iris recognition technologies are still widely used because of their non-invasive and contactless nature. Facial recognition systems may also be used to show attendance in offices, classrooms, universities, and other contexts. This system\'s objective is to develop a facial recognition-based class attendance system because the manual method now in use takes a lot of time and work to maintain. Through the use of this structure, it is simple to resolve the issue of proxies and students receiving present grades even when they are not there in person.

Introduction

I. INTRODUCTION

The traditional approaches to tracking attendance in today's dynamic educational environment frequently prove to be insufficient, labour-intensive, and prone to errors.

Acknowledging the necessity of a with a more contemporary approach to attendance control, educational establishments are progressively relying on tech-based solutions. Facial recognition software is one such cutting-edge approach that is becoming popular for registering attendance.

The integration of web development tools and facial recognition technology provides a transformative solution that addresses the drawbacks of conventional attendance tracking techniques. This state-of-the-art system works seamlessly with web development technologies like HTML, PHP, and XAMPP, as well as development environments.

With the help of XAMPP for local server deployment, PHP for server-side scripting, and HTML for user interface design, educational institutions may create a feature-rich attendance management system that is cutting edge in terms of technology.This introduction lays the groundwork for investigating how integrating facial recognition software with HTML, PHP, XAMPP, and Visual Studio might transform the process of recording attendance in educational environments. It underscores how crucial it is to update attendance management procedures in order to satisfy the changing demands of academic institutions and how technology plays a key role in boosting accuracy and efficiency. Institutions may improve overall operations,  strengthen  data  security,  and expedite attendance tracking with this creative method. Administrative effectiveness, which in turn creates an atmosphere that, is favourable to academic achievement and student success.

II. LITERATURE REVIEW

With several benefits over conventional techniques, facial recognition technology has emerged as a viable tool for tracking attendance in educational settings. This review of the literature explores the current literature on face recognition-based attendance systems, with an emphasis on those produced utilizing With several benefits over conventional techniques, facial recognition technology has emerged as a viable tool for tracking attendance in educational settings. This review of the literature explores the work that has been done on face recognition-based attendance systems, with an emphasis on systems created with HTML, PHP, XAMPP, and Visual Studio. Visual Studio, XAMPP, PHP, and HTML.

A. Accuracy and Efficiency

In comparison to manual techniques, facial recognition-based attendance systems have demonstrated exceptional efficiency and accuracy, as per a study conducted by Li et al. (2019). It has been observed that while designing such systems, the usage of HTML, PHP, XAMPP, and Visual Studio improves backend functionality and user interface design, which results in more seamless operation and better performance.

B. Customer Acceptance and Contentment

Users of face recognition-based attendance systems in educational contexts have responded well to these systems, according to research by Chen et al. (2020). User acceptability and happiness have increased as a result of the smooth interactions and user-friendly interfaces made possible by the combination of PHP and HTML with facial recognition technology.

C. Information Protection and Security

Study after study, including Zhang et al. (2018), has addressed privacy and data security concerns and stressed the significance of putting strong security measures in place for attendance systems that use face recognition. Sensitive student data is kept secret and intact by using Visual Studio in conjunction with HTML, PHP, and XAMPP to establish secure authentication mechanisms and encryption techniques.

D. Integrated and Scalable Systems

The study done by Wang et al. (2021) investigated the scalability and integration capabilities of attendance systems based on facial recognition. Through the use of HTML, PHP, XAMPP, and Visual Studio, these systems may be expanded to meet changing institutional demands and easily connected with pre-existing educational administration systems. This increases overall administrative efficacy and efficiency.

E. Difficulties and Prospects:

Studies similar to the one conducted by Kim et al. (2022) have discovered issues such as algorithm bias and hardware restrictions, despite the encouraging results. Future prospects for study include investigating the possibilities of cutting-edge technologies like edge computing and artificial intelligence in enhancing face recognition-based attendance systems, as well as resolving these problems through hardware optimization and algorithmic refinement. The review of the literature emphasizes how useful face recognition software is for recording attendance in classrooms, especially when it's combined with XAMPP, HTML, PHP, and Visual Studio. Through the utilization of these technologies, educational institutions may achieve gains in productivity, precision, user satisfaction, data safety, and expandability, which opens doors for improved administrative procedures and more involvement from students.

III. PROPOSED WORK

Before their pictures are taken and included to the dataset, all of the class's pupils must register by providing the necessary information. For the purpose of recording attendance, the instructor will utilize his phone, laptop, or any other device that has a button that students may press to activate the model and turn on the camera. A comparison with the photos in the dataset will be made between the faces that were discovered. Should a match be made, the relevant student's attendance will be recorded. Finally, in order to calculate the percentage, the total number of attendees will also be increased.

The suggested system's system architecture is provided below.

IV. METHODOLOGY

1. System prerequisites Analyze: Outline the goals and specifications for the face recognition attendance system, taking into account functions including data security, user identification, and real-time tracking.
2. Technology Selection: Due to HTML's adaptability in user interface creation, it is the preferred language for front-end development. For server-side programming that manages database interactions and data processing, choose PHP. For local server deployment, use XAMPP, which offers an environment with PHP, MySQL, and Apache. Use the integrated development environment (IDE) Visual Studio to code and debug.
3. Database Design: Create a database schema with MySQL or SQLite to house attendance logs, student data, and facial recognition information. Establish restrictions, tables, and connections to guarantee effective data management.
4. Facial Recognition Integration: Use libraries such as Dlib to integrate facial recognition technologies. Put face identification, feature extraction, and matching algorithms into practice. Utilizing a dataset of student faces, train a model to provide identification embeddings.
5. User Interface Development: Use HTML and CSS to design user-friendly forms and interfaces for student registration, attendance tracking, and other tasks.
6. Server-Side Scripting: Utilizing PHP scripts, manage server-side tasks including analyzing form submissions, running face recognition injection attacks, and querying the database.
7. Integration Testing: Examine the integrated system to make sure that every part functions as a whole. Conduct tests to verify the accuracy of facial recognition, the permanence of data, and the responsiveness of the system.

Among the process's phases are: -

1. Quotes: The construction of a Data set A web camera is used to take pictures of the kids. After that, these pictures will be stored with the student registration number or the name of the relevant student in a folder.
2. Recognition of Faces:  Dlib has strong capabilities in the field of facial recognition since it offers pre-trained models and algorithms for tasks like face detection and recognition.
3. Updates on Attendance:  Following the face recognition procedure, the faces of the identified students will be registered as present. The attendance of the missing students is not recorded, but when the next attendance is taken, a decrease in the overall number of classes attended will be displayed.

V. RESULTS

This platform allows teachers and students to register, and they must fill out the form with all the necessary information. Following registration, the instructor will be sent to their dashboard where they may record students' attendance by clicking on a button that triggers the camera and allows for the detection of student photos. Attendance is recorded if the student is acknowledged.

Conclusion

The goal of this system is to use facial recognition technology to create an efficient class attendance system. Face ID will be used by the proposed system to record attendance. Using a camera, it will first identify faces before identifying them. Following acknowledgment, it will update the attendance record and note the acknowledged student\'s attendance.

References

[1] Hapani, Smit, et al. \"Automated Attendance System Using Image Processing.\" 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE, 2018 [2] Salim, Omar Abdul Rhman, Rashidah Funke Olanrewaju, and Wasiu Adebayo Balogun. \"Class attendance management system using face recognition.\" 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2018. [3] Jenif D Souza, Jothi S, Chandrasekar A, “Automated Attendance Marking and Management System by Facial recognition using Histogram” in ICACCS 2019. [4] Nandhini R, Duraimurugan N, S.P Chollalingam “ Face Recognition Attendance System” in IJEAT in 2019. [5] Okokpujie, Kennedy O., et al. \"Design and implementation of a student attendance system using iris biometric recognition.\" 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. [6] Rathod, Hemantkumar, et al. \"Automated attendance system using machine learning approach.\" 2017 International Conference on Nascent Technologies in Engineering (ICNTE) IEEE, 2017. [7] Siswanto, Adrian Rhesa Septian, Anto Satriyo Nugroho, and Maulahikmah Galinium \"Implementation of face recognition algorithm for biometrics based time attendance system.\" 2014” International Conference on ICT For Smart Society (ICISS). IEEE, 2014. [8] Lukas, Samuel, et al. \"Student attendance system in classroom using face recognition technique.\" 2016 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2016.

Copyright

Copyright © 2024 Dr. Rishabh Garg, Ashley Dube, Elijah Moyo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.