Face Recognition Attendance Monitoring System

Abstract

Face recognition technology has become an efficient and secure method for automated attendance systems. Traditional attendance methods such as manual registers and RFID cards are time-consuming and prone to proxy attendance. This paper presents the design and implementation of a Face Recognition Attendance System using an ESP32-CAM module, display unit, and buzzer. The system captures the facial image of a person through the ESP32-CAM camera and compares it with the stored database using a face recognition algorithm. When a registered face is detected, the system automatically records the attendance and displays the person\'s name on the display module. A buzzer provides an audio indication confirming successful authentication. If the face is not recognized, the system denies access and generates a different alert signal. The attendance data can also be stored or transmitted to a connected server for monitoring and record keeping. The proposed system is compact, low-cost, and easy to implement, making it suitable for applications in educational institutions, offices, and secure workplaces. By eliminating manual processes and preventing proxy attendance, the system improves accuracy, efficiency, and security in attendance management.

Introduction

The text discusses the development of an automated face recognition attendance system using the ESP32-CAM microcontroller. Traditional attendance methods—manual registers, RFID cards, or fingerprint scanners—are prone to errors, proxy attendance, delays, and hygiene issues. The proposed system captures real-time facial images, processes them using face recognition algorithms, and automatically records attendance, providing accurate, contactless, and efficient monitoring.

The system stores authorized user data in a database, compares incoming images with stored records, and marks attendance if a match is found. A Piezo buzzer provides audio feedback for successful or failed recognition. This hardware-based solution is cost-effective, compact, and suitable for real-time deployment in educational institutions and offices, addressing limitations of existing software-based or semi-automated systems.

Conclusion

The face recognition attendance monitoring system provides an efficient and automated solution for recording attendance in educational institutions and workplaces. Traditional attendance methods such as manual registers, RFID cards, and fingerprint scanners have several limitations including time consumption, proxy attendance, and maintenance issues. To overcome these problems, the proposed system uses the ESP32-CAM module to capture and recognize facial images of individuals in real time. The system automatically identifies registered users and records their attendance without the need for physical contact or manual intervention. The integration of a Piezo Buzzer provides an instant audio indication to confirm successful or unsuccessful recognition. This improves user interaction and ensures that the attendance process is clear and reliable. Overall, the proposed hardware-based system offers a low-cost, compact, and accurate attendance monitoring solution. It reduces human errors, prevents proxy attendance, and saves valuable time. Therefore, the system can be effectively implemented in schools, colleges, offices, and other organizations for secure and efficient attendance management.

References

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Copyright

Copyright © 2026 Ms. A. Preethi, Pavithra P, Priyadharshini S, Sasmitha G, Francina S. 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.