Design and Development of a Facial Recognition Attendance System Using Python and Open CV.

Abstract

The main goal of this project is to create a face recognition-based attendance monitoring system for educational institutions in order to improve and upgrade the current Google Meet attendance system to make it more efficient and effective than before. The existing outdated system is very ambiguous, which results in erroneous and ineffective attendance taking. When the authorities cannot enforce the rules that are present under the previous system, many issues occur. The face recognition system will be the technology at work. One of the natural characteristics that can be used to specifically identify a person is their face. Because it is unlikely for a face to differ or be replicated, it is utilized to trace identification. Face databases will be established for this project in order to feed data into the recognizer algorithm. Then, during the period for recording attendance, faces will be checked against the database to try to identify anyone. When a person is recognized, their attendance will be recorded automatically, recording the essential data into an excel sheet. The excel document with attendance data for each person is mailed to the appropriate faculty at the conclusion of the day.