Abstract:

Marking attendance in a classroom during lectures can be tedious and time-consuming, especially when dealing with many students. The traditional methods of attendance marking are vulnerable to proxy attendance, making it challenging to maintain accurate records. Our proposed project aims to create a more reliable automated attendance marking and management system by utilizing facial recognition technology. While biometric techniques such as fingerprint and Radio Frequency Identification tags have been utilized in the past, they have proven to be less reliable than desired. Therefore, we believe that facial recognition technology can be a more accurate and efficient means of recording attendance. The system aims to simplify the attendance marking process and save time by using face detection and recognition algorithms. The system comprises four phases: Image Capturing, Segmentation of group image and Face Detection, Face comparison and Recognition, Updating of Attendance in the database. The system records attendance by processing images of students' faces, comparing them against stored records, and updating the attendance database accordingly. By using facial recognition technology, the proposed system aims to overcome the challenges of traditional attendance marking methods and provide an efficient and reliable solution

Description:

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