TITLE:
AI-Based Attendance Tracking and Monitoring System for UIDT Staff in Thies
AUTHORS:
Youssouphe Guisse, Ababacar Sadikh Faye, Jupiter Ndiaye, Aliou Ka, Youssou Traore, Mame Andallah Diop, Oumar Diallo, Ousmane Sow
KEYWORDS:
Productivity, Personnel, Clocking, Arduino, Visualization Interface, Cloud, Open Source and AI
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.12,
December
11,
2025
ABSTRACT: Academic institutions in Senegal, focused on social relations, knowledge transfer, and research, must now modernize in the face of health risks, theological developments, economic and social development, and security risks. Events such as COVID-19, the series of protests that took place throughout Senegal from March 2021 to February 2024, digitalization, and the use of generative AI, which have disrupted academic institutions, are forcing them to rethink how they operate. However, in an institution such as Iba Der Thiam University in Thies, the increase in student numbers is putting pressure on infrastructure, administrative management, and educational monitoring. Security and transparency remain a challenge, as the existing mechanisms are still prone to fraud. A multitasking system for teaching and administration is a solution for the university in terms of attendance and monitoring. It is very useful for automating the tracking of working hours and supervising activities. The system put in place is autonomous, multitasking for teaching and administrative purposes, modular, open source, and can be used in all institutions. A clocking system based on a very simple DLIB facial recognition model, the Python programming language, and electronic resources. It automatically records and authenticates staff as they enter or leave the establishment, thereby monitoring their punctuality. In addition, it monitors exams and ensures compliance with rules, such as the prohibition of using a phone during class, thanks to the integration of real-time surveillance with the help of cameras, an AI accelerator (Tinker Edge T), and an object detection and recognition model. It can be deployed both in the cloud and locally. A graphical interface allows you to view attendance and track activities to verify compliance with school rules. This automation solution contributes to improving the management of administrative staff, working hours, discipline, safety, and transparency.