Automated Student Attendance Tracker for End Semester Examination using Face Recognition System

The keeping and recording of a class attendance log manually is not very efficient for end semester examination hall tickets generation due to maintaining minimum attendance percentage for each subjects. Since offering proxies for absentees or skipping class has become amusing and a fantasy among students of the current age. Manually recording attendance in logbooks becomes challenging and vulnerable to manipulation. Therefore, the purpose of this project is to present the automatic attendance system. This system recognizes each student's face to automatically identify them in the classroom and record their attendance and also record wherever roaming inside the campus. By photographing students' faces in real time, this system was created. The reference faces in the dataset are compared to the detected faces, marking the attendees' attendance. At the end of the semester all the student’s attendances are calculated automatically and give notification to students, parents and class advisors for the status of attendance percentage. Based on the detailed results, hall tickets are automatically generate in the college exam cell. The final project is completed and reports were generated.