ISSN: 2265-6294

FACIAL RECOGNITION-BASED ATTENDANCE MANAGEMENT SYSTEM: DESIGN, IMPLEMENTATION, AND EVALUATION

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KOTHAKONDA HARSHAVARDHAN, BONALA AKHIL, SHAGUFTHA BASHEER

Abstract

Schools are concerned about a probable reduction in the number of kids interested in attending. Even when there is an outbreak, it is critical to obtain new information. Students used to raise their hands at roll call or sign a paper to show that they were present in class. Each one demanded more effort and time than the previous one. Instead than keeping attendance records by hand, teachers should use an electronic system. We were able to create a system that could fully track involvement for this project using Tkinter and Python. In the end, a "Automated Attendance System based on Face Recognition" would be created. Face recognition expands the app's utility in a new way. Because the system is now automated, the natural world is better off. Face recognition is utilized as a biometric to ensure that this technology does not allow for bogus attendance. This indicates that the strategy can be employed in situations when the audience must be particularly active. The suggested system is built on TKINTER and is supported by a PYTHON script and a SQL database. The camera takes a picture of a face, and an algorithm inside the gadget instantaneously compares it to a previously saved picture with the same encoded information. The system generates Excel spreadsheets.

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