Implementation of an IoT Based Smart Face Recognition Attendance System in Secondary Schools in Dutse LGA, Jigawa State
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Background of the study
Attendance monitoring in secondary schools is a critical administrative function that directly impacts academic performance and resource allocation. Traditional attendance methods, such as manual roll‑calls, are prone to errors and time‑consuming processes. The implementation of an IoT‑based smart face recognition attendance system offers a modern solution that automates student identification, reduces fraudulent practices, and enhances administrative efficiency (Emeka, 2023). This system integrates advanced facial recognition algorithms with IoT sensors and networked databases, enabling real‑time tracking of student attendance in a secure and efficient manner (Chukwu, 2023).
In Dutse LGA, secondary schools face challenges including inconsistent attendance records, delayed data entry, and potential manipulation of attendance data. An IoT‑based face recognition system addresses these issues by providing immediate, accurate, and verifiable records that can be seamlessly integrated into school management systems. The system’s use of biometric data ensures that each student is uniquely identified, thereby reducing the potential for proxy attendance and improving accountability (Ibrahim, 2024). Additionally, the data collected can be used for performance monitoring, resource allocation, and the early detection of attendance-related issues.
Despite its advantages, several challenges hinder the full-scale adoption of such systems in Dutse LGA. These include the high initial costs of hardware installation, concerns over data privacy, and the need for technical training among school staff (Udo, 2023). Furthermore, the integration of facial recognition technology into existing educational systems requires robust cybersecurity measures to protect sensitive student information. Nonetheless, the potential benefits of improved administrative efficiency, reduced human error, and enhanced student safety justify the exploration and implementation of this technology (Okeke, 2023).
This study aims to evaluate the feasibility, challenges, and benefits of implementing an IoT‑based smart face recognition attendance system in secondary schools in Dutse LGA. By analyzing technical, operational, and socio‑economic factors, the research seeks to propose a comprehensive framework that supports the sustainable adoption of biometric attendance solutions (Emeka, 2023).
Statement of the problem
Secondary schools in Dutse LGA currently rely on manual attendance systems that are inefficient and vulnerable to errors and fraudulent practices. The manual process consumes valuable teaching time and often leads to inaccurate attendance records, affecting academic performance and resource distribution (Chukwu, 2023). The absence of an automated system contributes to a lack of accountability and transparency in student attendance, which in turn undermines efforts to monitor academic progress effectively.
Moreover, the traditional method does not provide real‑time data, making it difficult for school administrators to address attendance-related issues promptly. The manual process also increases the workload on teachers and administrative staff, diverting attention from other critical educational tasks (Ibrahim, 2024). Additionally, the current system is susceptible to proxy attendance, where students may mark attendance for absent peers, leading to distorted data and potential misuse of school resources. Financial constraints and limited technical expertise further exacerbate these issues, making it challenging to implement improvements in the existing attendance tracking system (Udo, 2023).
This study seeks to address these challenges by investigating the potential of an IoT‑based smart face recognition attendance system to streamline the process and improve data accuracy. The research will examine the technical feasibility of integrating facial recognition technology with IoT infrastructure, assess the economic implications of system deployment, and identify operational challenges that could hinder its effective implementation. The ultimate goal is to develop a robust framework that not only enhances attendance monitoring but also improves overall school administration and student accountability (Okeke, 2023).
Objectives of the study
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To assess the limitations of current manual attendance systems in secondary schools in Dutse LGA.
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To evaluate the feasibility of implementing an IoT‑based face recognition attendance system.
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To propose a comprehensive framework for the sustainable deployment of biometric attendance technology.
Research questions
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What are the shortcomings of the traditional attendance methods in secondary schools?
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How can IoT‑based facial recognition improve attendance accuracy and efficiency?
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What are the technical and operational challenges in implementing such systems?
Significance of the study
This study is significant as it addresses inefficiencies in student attendance monitoring by exploring IoT‑based facial recognition solutions. The research will provide insights for school administrators, policymakers, and technology developers, highlighting how biometric systems can reduce fraud, save time, and improve data accuracy. The proposed framework will support the adoption of advanced technologies in educational settings, enhancing transparency and operational efficiency while ensuring data security (Emeka, 2023; Chukwu, 2023).
Scope and limitations of the study
This study is limited to the investigation of IoT‑based smart face recognition attendance systems in secondary schools in Dutse LGA, focusing on technical, operational, and economic aspects. Broader educational management issues are not addressed.
Definitions of terms
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IoT (Internet of Things): A network of connected devices that exchange data in real‑time.
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Facial Recognition: Biometric technology that identifies individuals by analyzing facial features.
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Attendance System: A mechanism used to record and manage the presence of students.
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