An Ai-powered Facial Recognition System for Automated Student Identification and Attendance Management
Year: 2026
Type: article
Abstract: It should be noted that there is a need to implement a highly effective student identification systemwithin educational institutions, demonstrating how ineffective traditional attendance systems can be,such as physical registers or ID cards.Within this paper, we suggest a new system of student identification that uses artificial intelligencetechnologies and has the potential to transform existing student attendance systems. The new studentidentification system that we propose uses artificial intelligence, specifically computer vision ormachine learning technologies, to identify student faces through the use of cameras.Our proposed student identification system has been developed using artificial intelligence technology,particularly computer vision or machine learning technology to recognize the faces of students usingcameras. Our proposed student identification system has been developed using programminglanguages such as Python or OpenCV with the aid of other enabling technologies like machinelearning algorithms or database management systems.Our proposed student identification system has proven its efficiency through experimental outcomesusing artificial intelligence technology. Our proposed student identification system marks an importantmilestone in the advancement of smart education through artificial intelligence technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7150795333
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