ABSTRACT
This seminar introduces an
Attendance Maintenance System designed to revolutionize the way iucational
institutions manage student attendance records. Employing the Dynamic Systems
levclopment Method (DSDM), the system offers an agile and user-centric approach
to attendance acking. It aligns with five key objectives, including performance
optimization, scalability, nproved user interface, database integration, and
facial recognition implementation. To icomplish these objectives and the system
utilizes OpcnCV and the face recognition library for nage enhancement tasks,
ensuring efficient face detection, encoding, and comparison. Firebase irvcs as
the database solution, facilitating secure and real-time data management. The
user iterface is developed with Tkinter, a Python library known for simplicity
and compatibility. It icludes essential components such as login windows, text
inputfields, and real-time data displays, i summary, this system represents a
significant advancement in attendance management within .iucational
institutions, driven by DSDM principles and cutting-edge image enhancement
ichniques. Its real-time capabilities, intuitive interface, and robust facial
recognition make it a ansformaiive tool for educational administrators,
providing a model for the integration of ichnology in education.
MICHAEL, U (2026). Development Of A Face Detection And Recognition Attendance Management System:- Ejioforken Christian C. Repository.mouau.edu.ng: Retrieved Jun 02, 2026, from https://repository.mouau.edu.ng/work/view/development-of-a-face-detection-and-recognition-attendance-management-system-ejioforken-christian-c-7-2
UNIVERSITY, MICHAEL. "Development Of A Face Detection And Recognition Attendance Management System:- Ejioforken Christian C" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 01 Jun. 2026, https://repository.mouau.edu.ng/work/view/development-of-a-face-detection-and-recognition-attendance-management-system-ejioforken-christian-c-7-2. Accessed 02 Jun. 2026.
UNIVERSITY, MICHAEL. "Development Of A Face Detection And Recognition Attendance Management System:- Ejioforken Christian C". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 01 Jun. 2026. Web. 02 Jun. 2026. < https://repository.mouau.edu.ng/work/view/development-of-a-face-detection-and-recognition-attendance-management-system-ejioforken-christian-c-7-2 >.
UNIVERSITY, MICHAEL. "Development Of A Face Detection And Recognition Attendance Management System:- Ejioforken Christian C" Repository.mouau.edu.ng (2026). Accessed 02 Jun. 2026. https://repository.mouau.edu.ng/work/view/development-of-a-face-detection-and-recognition-attendance-management-system-ejioforken-christian-c-7-2