Implementation of AI-Based Smart Student ID Systems for Secure University Access in Federal University, Wukari, Taraba State
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Background of the Study
Student identification and access management are critical elements of security in academic institutions. Traditionally, student ID systems have relied on physical cards or simple barcode scanners, but these methods can be easily compromised (Chen & Zhao, 2024). With advancements in artificial intelligence (AI), universities can adopt more sophisticated, secure, and efficient identification systems. AI-based smart student ID systems offer enhanced security features such as facial recognition, biometric verification, and real-time access monitoring, making them more secure than traditional methods (Wu et al., 2023).
At Federal University, Wukari, Taraba State, the implementation of an AI-powered smart student ID system can streamline access control, reduce fraud, and ensure only authorized individuals can access sensitive areas. Moreover, AI can help monitor attendance and prevent identity theft, providing an additional layer of security within the campus. This study explores the design and implementation of such a system at the university to enhance campus security and improve administrative efficiency.
Statement of the Problem
Federal University, Wukari has faced challenges in managing campus security, particularly regarding unauthorized access to restricted areas. The traditional student ID system, which relies on physical cards, is prone to misuse, including identity theft and falsification of attendance records. This leads to security vulnerabilities and inefficient monitoring processes. An AI-based smart student ID system, capable of biometric identification and access management, could significantly improve security and streamline university administration.
Objectives of the Study
- To design and implement an AI-based smart student ID system for Federal University, Wukari.
- To evaluate the effectiveness of the AI system in enhancing security and access management at the university.
- To assess user satisfaction and usability of the AI-based student ID system among students and staff.
Research Questions
- How effective is the AI-based smart student ID system in improving campus security at Federal University, Wukari?
- What are the perceptions of students and staff regarding the usability of the AI-based student ID system?
- How does the AI-based system compare to the traditional student ID system in terms of preventing unauthorized access?
Research Hypotheses
- The AI-based smart student ID system will significantly improve security by reducing unauthorized access to campus areas.
- Users will report higher levels of satisfaction with the AI-based student ID system compared to the traditional system.
- The AI-based system will reduce incidents of identity theft and falsification of attendance.
Significance of the Study
This study will provide insights into the effectiveness of AI-based systems in improving security and administrative efficiency in universities. The findings will inform future policies on campus security and offer a model for other institutions seeking to modernize their access management systems.
Scope and Limitations of the Study
The study will focus on the implementation and evaluation of the AI-based smart student ID system at Federal University, Wukari. It will not extend to other university campuses or external systems. The study will be limited to access control and identification, excluding other potential applications of AI in university administration.
Definitions of Terms
AI-Based Smart Student ID System: A system that uses artificial intelligence technologies, such as facial recognition or biometric scanning, for student identification and secure access management.
Biometric Verification: A process that uses physical characteristics, such as fingerprints or facial features, to verify an individual's identity.
Access Control: The process of restricting entry to certain areas or systems to authorized individuals only.
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