Automated Attendance Monitoring System using Face Detection and RFID Cards
Shubha Jain1, Shail Dubey2, Vaibhav Mishra3, Durgesh Kumar Mishra4
1Professor Dr. Shubha Jain, CSE, Axis Institute of Technology and Management, Kanpur, India.
2Assistant Professor Shail Dubey, CSE, Axis Institute of Technology and Management, Kanpur, India.
2Vaibhav Mishra, CSE, Axis Institute of Technology and Management, Kanpur, India.
4Durgesh Kumar Mishra, CSE, Axis Institute of Technology and Management, Kanpur, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 30, 2020. | Manuscript published on June 10, 2020. | PP: 539-544 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6541069820/2020©BEIESP | DOI: 10.35940/ijitee.H6541.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The attendance serves the most important role in the academic life of any student. Most of the colleges follow the traditional approach of attendance in which the professor speaks out student’s name and record attendance. For each lecture, this repetition of attendance calling is actually wastage of time and a time-taken procedure for calculating attendance of each student. Here an automatic process is proposed which is based on image processing with radio-frequency identification to avoid the losses. In this project approach, there is a use of face detection & RFID cards. Firstly, use the pre-processing step for the face detection and RFID receiver for the RFID cards counting and the second step is to detect, recognize and then the face is matched with stored images in the database. In this paper, viola-Jones algorithm is used for face detection, in which first step of integral image is used for feature computation and Adaboost algorithm is used for feature selection in second step. Then for discarding the non-faces, cascade classifiers is used in the third step of algorithm. The working of this project is to detect and recognize the face and RFID cards then mark the attendance for the corresponding face in the database on matching the face and unique number to the stored dataset. Face detection and RFID cards will be used as input and the attendance will be marked as output. This project is being conferred as a clarification for the “Automated attendance monitoring system.” Here a system of automatic face detection and recognition is proposed to mark the attendance automatically in database. This will save the time of person who is using traditional pen & paper based approach for attendance and hence is a solution for the automated attendance monitoring system. RFID cards are very helpful here for tracking or monitoring the student/teacher/employees within the campus. This system can be used in schools, colleges for students as well as for teachers also and it can be also used in companies, hospitals and malls for maintain records of accurate attendance of their employees.
Keywords: Automatic Attendance Monitoring System, Radio Frequency Identification Cards, Face Detection and Face Recognition, Viola-Jones Algorithm, Haar-Features, PCA, LBP.
Scope of the Article: Frequency Selective Surface