COMPUTER DOMAIN
Published February 1, 2023 | Version v1
Journal article Open

A Survey on Smart Education and Exam Hall Assistance using Voila Jones Algorithm and IoT

Creators

  • 1. Student, Department of Computer Science and Engineering, HKBK College of Engineering, Bangalore, Karnataka, India
  • 2. Associate Professor, Department of Computer Science and Engineering, HKBK College of Engineering, Bangalore, Karnataka, India

Description

An increasingly common and trustworthy method of identification that can help the development of tremendously powerful computing is biometric technology. Universities and other institutions are still now employing antiquated methods to verify pupils before exams. Students who neglect to bring their exam slip to the exam room as proof of attendance will not be permitted to take the exam. In addition, many students fail to record their matriculation number and exam information. On the other hand, manually recording student attendance is a challenging undertaking that can take a lot of time. So, in this paper we are presenting the brief literature review on Smart Education and Exam Hall Assistance using Voila Jones Algorithm and IoT. The architecture described in this study uses a fingerprint sensor, an Atmega328 microprocessor, RFID (Radio Frequency Identification) and an LM35 temperature sensor to register and authenticate students while also tracking their body temperatures. The authorities can take the necessary action if the temperature is higher than the average body temperature. In conclusion, this system can replace traditional identification and authentication of a student for examination attendance and can reduce human errors.

Files

B4_A Survey on Smart Education -Formatted Paper.pdf

Files (396.0 kB)

Additional details

References

  • 1. Kaur, A., Bhatia, M., & Stea, G. (2022). A Survey of Smart Classroom Literature. Education Sciences, 12(2), 86.
  • 2. Alshbtat, A., Zanoon, N., & Alfraheed, M. (2019). A novel secure fingerprint-based authentication system for student's examination system. International Journal of Advanced Computer Science and Applications, 10(9).
  • 3. Vaishnavi, V. K., Mangita, S. W., Supriya, K. G., & Dananjay, B. S. (2019). Fingerprint Based Exam Hall Authentication. International Journal of Research in Engineering, Science and Management, 2(10).
  • 4. Patil, D .H., et al. (2018). A literature survey on secure exam management system. IJCEA, 12.
  • 5. http://www.kryteriononline.com/
  • 6. http://www.softwaresecure.com/
  • 7. Gioeli, A. (2015). Biometrics and the future of enterprise ID management. Biometric Technology Today, 2015(3), 8-10.
  • 8. http://www.mobioproject.org/.
  • 9. Amin, R., Gaber, T., ElTaweel, G., & Hassanien, A. E. (2014). Biometric and traditional mobile authentication techniques: Overviews and open issues. In Bio-inspiring cyber security and cloud services: trends and innovations (pp. 423-446). Springer, Berlin, Heidelberg.
  • 10. Xu, Z., Zhang, T., Zeng, Y., Wan, J., & Wu, W. (2015, March). A secure mobile payment framework based on face authentication. In Proc. Int. MultiConf. Eng. Comput. Scientists (Vol. 1, pp. 495-501).