Attendance marking system using face recognition & RFID and prevention of examination Malpractice system

  • Authors

    • M Maria Dominic Savio
    • S Yuvaraj
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10541
  • Examination malpractice, JAVA & SQL based examination system, Face recognition, RFID, Sensors

  • Abstract

    In the presentscenario, Every University/College consists of many students, with the increased number of students it is a very tough task for the university to verify attendance manually and control malpractice during the examination. During a written test it is very easy for students to copy. To overcome these problems, in this paper we are going to discuss on Exam Monitoring systemwith a computer-based examination, attendance verification, and malpractice detection. This system consumes comparatively less time to verify attendance, generates distinct sets of questions for students, monitors duringtheexam, and the result is stored in the cloud.

  • References

    1. [1] F. Battaglia; G. Iannizzotto; L. Lo Bello, "A person authentication system based on RFID tags and a cascade of face recognition algorithms," in IEEE Transactions on Circuits and Systems for Video Technology, vol. PP, no.99, pp.1-1doi: 10.1109/TCSVT.2016.2527299.

      [2] S. Konatham, B.S. Chalasan, N. KulakarnEITaeib, “Attendance generating system using RFID and GSMâ€, 2016 IEEE Long Island Systems,Applications and Technology Conference (LISAT), Farmingdale, NY,2016, PP.1-3.doi:10.1109/LISAT.

      [3] R. Basu, S. Das Adhikari, P. Kundu“A microcontroller based integrated multifunction sensor using piezo resistive element†<em>Control Instrumentation Energy and Communication (CIEC) 2014 International conference</em>pp.115-121 2014.

      [4] Srinidhi MB and R. Roy, "A web enabled secured system for attendance monitoring and real time location tracking using Biometric and Radio Frequency Identification (RFID) technology," 2015 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, 2015, pp. 1-5.doi: 10.1109/ICCCI.2015.7218103.

      [5] M. Kassim, H. Mazlan, N. Zaini and M. K. Salleh, "Web-based student attendance system using RFID technology," 2012 IEEE Control and System Graduate Research Colloquium, Shah Alam, Selangor, 2012, pp. 213-218.doi:10.1109/ICSGRC.2012.6287164.

      [6] Ramírez, J.; J. M. Górriz; J. C. Segura (2007). "Voice Activity Detection.Fundamentals and Speech Recognition System Robustness" (PDF).In M. Grimm and K. Kroschel.Robust Speech Recognition and Understanding. pp. 1–22. ISBN 978-3-902613-08-0.

      [7] Unnati A. Patel, Dr.SwaminarayanPriya R, “Development of a Student Attendance Management System Using RFID and Face Recognition: A Review,â€2014 International Journal of Advance Research in Computer Science and Management Studies, Volume 2, Issue 8, August 2014, ISSN: 2321­7782.

      [8] Ultrasonic Ranging Module HC-SR04. Data Sheet and Product Features.ElecFreaks.Ramírez, J.; J. M. Górriz; J. C. Segura (2007)http://e-radionica.com/productdata/HCSR04.pdf.

      [9] Pritchard, D.E. What are students learning and from what activity? Plenary speech presented at Fifth Conference of Learning International Networks Consortium 2010. Retrieved in July 2016 fromhttp://linc.mit.edu/linc2010/proceedings/plenary-Pritchard.pdf.

      [10] Ramírez, J.; J. M. Górriz; J. C. Segura (2007). "Voice Activity Detection.Fundamentals and Speech Recognition System Robustness" (PDF).In M. Grimm and K. Kroschel.Robust Speech Recognition and Understanding. pp. 1–22. ISBN 978-3-902613-08-0.

      [11] What is Examination Malpractices? Reference: https://www.reference.com/government-politics/examination-malpractice-3c260e6006b1294a#.

      [12] Microcontroller PIC16F877A Introduction and Features. Bilal Malik Microcontrollers lab 2015: http://microcontrollerslab.com/pic16f877a-introduction-features/.

      [13] Facial Recognition system. Wikipedia: https://en.wikipedia.org/wiki/Facial_recognition_system.

      [14] LOGITECH C170 features. http://support.logitech.com/en_us/product/webcam-c170#knowledge.

      [15] SulakshnaSarkar, PradnyaliGaikwad, SnehaAgrawal, SeemaArote“Implementation of a Wireless Network for Class Attendance System Using Face Recognition and GSM†International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 3, Special Issue, March-April 2013.

      [16] NurbekSaparkhojayev and SelimGuvercin“Attendance Control System based on RFID-technologyâ€IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012.

      SQL:https://en.wikipedia.org/wiki/SQL

  • Downloads

  • How to Cite

    Maria Dominic Savio, M., & Yuvaraj, S. (2018). Attendance marking system using face recognition & RFID and prevention of examination Malpractice system. International Journal of Engineering & Technology, 7(2.8), 599-602. https://doi.org/10.14419/ijet.v7i2.8.10541

    Received date: 2018-03-24

    Accepted date: 2018-03-24

    Published date: 2018-03-19