ATTENDANCE SYSTEM

Attendance management is a key part of academic administration, yet many Nigerian universities
still rely on manual methods prone to errors and impersonation. This study, titled “An
Assessment of User Acceptance of Biometric Fingerprint Attendance Systems in Educational
Institutions,” examined how students of the University of Benin (UNIBEN) perceive and are
willing to adopt biometric fingerprint technology as a modern attendance tool. Using a
descriptive survey design, data were gathered from 85 students across different faculties. Guided
by the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of
Technology (UTAUT), the study analyzed factors such as awareness, ease of use, trust, and data
security. Results showed high awareness and positive attitudes toward the technology, though
concerns about privacy and technical support persisted. The study recommends improved
infrastructure, training, and clear data protection measures to enhance user trust and successful
adoption of biometric systems in universities.

Attendance management in academic tertiary institutions is a critical administrative task that directly impacts the credibility of academic records. Traditional methods such as manual roster calls, paper-based attendance sheets, and ID card verification have proven inefficient, timeconsuming, and vulnerable to impersonation attendance fraud. This project highlights the necessity for automated attendance systems using modern technologies such as biometric verification, Radio Frequency Identification (RFID) tracking, and facial recognition. Considering the operational constraints and specific requirements of the University of Benin, Department of Computer Science, this project proposes a Web-Based Facial Recognition Attendance System as an optimal solution. The project focuses on implementing a functional prototype of the facial recognition attendance system, where students register their facial biometrics during enrollment and subsequently mark attendance by scanning their faces via a web-based application. The system follows an objectoriented approach to system analysis and design, utilizing use case diagrams, class diagrams, and sequence diagrams to model the system architecture. These designs form the foundation for a system capable of handling the complete attendance process from student authentication to generating real-time attendance reports for courses offered by the Department of Computer Science. The key features of this attendance system include real-time face detection, liveness verification to prevent bypass attempts, and geolocation validation to ensure attendance is marked within authorized locations. The system also provides administrative dashboards for attendance monitoring and analytics. By implementing this solution, the University of Benin would probably have achieved a more secure, efficient, and fraud-resistant attendance management system compared to conventional methods