Volume no :
10 |
Issue no :
01
Article Type :
Google Scholar
Author :
S.Sathishkumar, Dharaneeswar.K, Aishwarya.S, Asmitha.S, Aarthi.G
Published Date :
13 - March - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 7
Abstract : The traditional attendance system, commonly used in classes across the world, is a tedious task and is often associated with various types of errors such as proxy attendance and recording errors. Such types of drawbacks associated with the traditional attendance system make the overall attendance system less efficient and cause difficulties in maintaining student attendance records accurately. Manual attendance systems are also time-consuming and require a lot of effort from teachers to manage student attendance records accurately. Hence, to avoid such drawbacks associated with the traditional attendance system, a new type of attendance system using artificial intelligence technology, such as a smart classroom attendance system using face recognition technology, is proposed in this paper. The proposed system is able to recognize students automatically by detecting images from the camera installed in the class. The images are then used to recognize the faces of students present in the class using various computer vision and machine learning techniques. For this purpose, various types of technology are used to develop the overall system, whereas a database is used to store student attendance records. The system is designed in a way such that it reduces the effort for attendance recording, and at the same time, it increases the accuracy of attendance data. Additionally, the system minimizes the time required for attendance marking, and there is no possibility for proxy attendance. From the experimental results, it is clear that the proposed system is working efficiently in detecting students and recording attendance automatically. Therefore, the system is reliable and effective for smart classroom environments, and it supports the digital transformation of modern educational institutions.
Keyword Facial Recognition, Smart Classroom, Attendance Automation, Artificial Intelligence, Computer Vision, OpenCV
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