Face Detection and Classification for Attendance Systems on Android

Year : 2025 | Volume : 15 | Issue : 01 | Page : 15 22
    By

    Yash Bagul,

  • Shashikant Chavan,

  • Malhari Shelar,

  • Subodh Raithak,

  1. Student, Department of Electronics & Communication Engineering, Parvatibai Genba Moze College of Engineering, Wagholi, Pune, India
  2. Student, Department of Electronics & Communication Engineering, Parvatibai Genba Moze College of Engineering, Wagholi, Pune, India
  3. Student, Department of Electronics & Communication Engineering, Parvatibai Genba Moze College of Engineering, Wagholi, Pune, India
  4. Student, Department of Electronics & Communication Engineering, Parvatibai Genba Moze College of Engineering, Wagholi, Pune, India

Abstract

This work offers a facial recognition-based attendance system with the goal of addressing the drawbacks of traditional manual attendance. The manual attendance procedure can be made more efficient by using facial recognition technologies and mobile platforms. This design is divided into three function modules: attendance sign-in, attendance record, and face recognition system of check on work attendance information input. It also introduces a face detection and classification principle, analyses the process of building the face recognition classifier, and, finally, designs and implements a face recognition system to check work attendance on the Android platform. The feasibility of this scheme is verified by comparing the experiment results of face recognition accuracy.

Keywords: Android platform, face detection, face recognition, attendance system, mobile platform

[This article belongs to Current Trends in Signal Processing ]

How to cite this article:
Yash Bagul, Shashikant Chavan, Malhari Shelar, Subodh Raithak. Face Detection and Classification for Attendance Systems on Android. Current Trends in Signal Processing. 2025; 15(01):15-22.
How to cite this URL:
Yash Bagul, Shashikant Chavan, Malhari Shelar, Subodh Raithak. Face Detection and Classification for Attendance Systems on Android. Current Trends in Signal Processing. 2025; 15(01):15-22. Available from: https://journals.stmjournals.com/ctsp/article=2025/view=198297


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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 25/11/2024
Accepted 07/01/2025
Published 08/02/2025
Publication Time 75 Days
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