IGBOKWE, FRANCIS OBINNA (2026) INTELLIGENT ATTENDANCE TRACKING THROUGH FACIAL RECOGNITION TECHNOLOGY USING CNN MODEL. Other thesis, Godfrey Okoye University, Enugu Nigeria.
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Abstract
Attendance tracking is a necessary operation for every academic institution to keep check of student's participation, academic progress and adherence to institutional policies. Conventional attendance tracking methods using paper-based registers or manual roll call systems are not only time-consuming and error-prone but also easy to be impersonated and tough to handle in large class environments. This paper endeavors to mitigate the issues associated with inaccurate and inefficient attendance management using the "Intelligent Attendance Tracking System using Facial Recognition Technology". We developed and implemented the facial recognition-based attendance tracking system by utilizing React.js for the frontend, Flask for the backend services and SQLite for the database system whereas deep learning based face recognition mechanisms are employed for detecting faces and matching. YOLOV face detection module was implemented for detecting facial regions. Face recognition mechanism based on the Euclidean distance matching on facial embeddings was implemented for checking students and marking their attendance. Features supported by the system are registration of student, attendance using live camera, attendance using external camera, automatic attendance marking, blocking duplicate attendance, generation of attendance reports and notifications for absent students. In addition, the experiment shows the accuracy of 91.6% the precision 89.8% recall 88.9% and F1-Score 89.3% are achieved for attendances’automatic detection based on the collected few real data of real- time environment from originally face images of the student.This system represents an advancement towards smart academic management systems.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Cynthia Ugwuoti |
| Date Deposited: | 22 Jul 2026 14:30 |
| Last Modified: | 22 Jul 2026 14:30 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/6046 |
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