Development of Face Recognition Based Attendance System
Keywords:
Face Recognition, Attendance, OpenCV, PythonAbstract
In this work, a web application called RollCall has been developed and tested, for use for both students and lectures in a tertiary institution using the Faculty of Engineering at the University of Ilorin as a model, to manage attendance. The system manages attendance by allowing the lecturers to create courses, take and retrieve attendance records for the courses created. Student functionalities include uploading their face data, enrolling for courses, and retrieving attendance records for the courses in which they are enrolled. Attendance is marked through face recognition technology and implemented with Python, OpenCV and Sci-kit Learn, while the web interface was implemented using HTML5, Twitter Bootstrap CSS framework and JavaScript
References
Alhanaee, K., Alhammadi, M., Almenhali, N. and Shatnawi, M. (2021). Face recognition smart attendance system using deep transfer learning. Procedia Computer Science, 192, pp. 4093–4102. https://doi.org/10.1016/j.procs.2021.09.184 Chen, S. and Sun, Y. (2022). Establishment of Speaker Recognition Corpus for Intelligent Attendance System., the 2022 7th International Conference on Multimedia and Image Processing ., pp. 247-250. Das, A. V, Shyju, A., Varghese, T. and Mohan, N. (2019). Face recognition based attendance management system using Machine Learning. International Journal of Innovative Research in Technology, 5(12), pp.740–743. Gheisari, M. G. M., Roy, A. S. R. A. S., Lan, H. L. H., Abbasi, A. A. A. A. A., Mojtaba, S. M. H. B. S. and Bamakan, H. (2022). Automation attendance systems approaches: a practical review. BOHR International Journal of Internet of Things, Artificial Intelligence and Machine Learning, 1(1), pp. 23-31. Ghosh, U. B., Sharma, R. and Kesharwani, A. (2022). Symptoms-based biometric pattern detection and recognition. In Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis, pp. 371-399. Singapore: Springer Nature Singapore. Gowda, D., Vishal, K., Keertiraj, B. R., Dubey, N. K. and Pooja, M. R. (2020). Face Recognition based Attendance System. International Journal of Engineering Research & Technology (IJERT), 9(06), pp.761–767. https://doi.org/10.1109/ICIDeA53933.2022.9970084 Huang, Y., Fu, B., Peng, N., Ba, Y., Liu, X. and Zhang, S. (2022). RFID Authentication System Based on User Biometric Information †. Applied Sciences (Switzerland), 12(24), pp. 1–6. https://doi.org/10.3390/app122412865 Jadhav, A., Ghodse, A., Nahate, H., Ghumare, S. and Kubde, R. (2023). Smart Attendance Monitoring System Using Biometric. Available at SSRN 4382108. Kumar, A., Jain, A. K. and Dua, M. (2021). A comprehensive taxonomy of security and privacy issues in RFID. Complex and Intelligent Systems, 7(3), pp. 1327–1347. https://doi.org/10.1007/s40747-021-00280-6 Memane, R., Jadhav, P., Patil, J., Mathapati, S. and Pawar, A. (2022). Attendance Monitoring System Using Fingerprint Authentication., the 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA)., pp. 1-6, 2022. Mitra, A. R., Lucas, S., Desanti, R. I. and Krisnadi, D. (2017). Automated Student Attendance Management System Using Multiple Facial Images. DEStech Transactions on Computer Science and Engineering, cmsam, pp. 1–6. https://doi.org/10.12783/dtcse/cmsam2017/16422 Narendar, S. D., Kusuma Sri, M. and Mounika, K. (2019). IOT based automated attendance with face recognition system. International Journal of Innovative Technology and Exploring Engineering, 8(6 Special Issue 4), pp. 450–456. https://doi.org/10.35940/ijitee.F1093.0486S419 Ramírez-Mendoza, R. A., Lozoya-Santos, J. D. J., Zavala-Yoé, R., Alonso-Valerdi, L. M., Morales-Menendez, R., Carrión, B., ... and Gonzalez-Hernandez, H. G. (Eds.). (2022). Biometry: Technology, Trends and Applications. Published by CRC Press. Ramya, S., Sheeba, R., Aravind, P., Gnanaprakasam, S., Gokul, M. and Santhish, S. (2022). Face Biometric Authentication System for ATM using Deep Learning., the 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)., pp. 1446-1451, 2022. Sandhya, N., Saraswathi, R. V., Preethi, P., Chowdary, K. A., Rishitha, M. and Vaishnavi, V. S. (2022). Smart Attendance System Using Speech Recognition. the 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)., pp. 144-149, 2022. Smith, M. and Miller, S. (2022). The ethical application of biometric facial recognition technology. AI & Society, pp. 1-9. Vinay, M. D., Kumar, M. H., Hemanth, B. and Tomar, D. S. (2023). Smart Attendance System Using Biometric and GPS., the 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). pp. 1-6, 2023.
