An Optimized Method for Automated Stadium Attendance Management System

  • Authors

    • Asnorul Bari’ah Mosman
    • Salama A. Mostafa
    • Aida Mustapha
    • Abu Ubaidah Shamsudin
    • Mohammed Ahmed Jubair
    • Mustafa Hamid Hassan
    2019-01-18
    https://doi.org/10.14419/ijet.v8i1.7.25965
  • Automated stadium attendance management, Smartphone, Barcode.
  • In recent times, football and football players’ popularity is increasingly rising which make the football stadium increasingly full of supporters from both the home and opposition teams. However, the management of the stadium attendance still applies conventional methods, which results that the audiences might be dissatisfied with the attendance method. This paper proposes an optimized method for the management of the stadium attendance. The implementation of the method applies a prototype methodology to develop a systematic and efficient Automated Stadium Attendance Management (ASAM) system. In addition, communications technology of smartphones is used to scan barcodes on tickets and dismantle the data to the system. This work is meant to help stadium workers to efficiently manage the attendance of audiences. The test results show that the system successfully retrieves, and processes optimized data and information of the spectators and efficiently manages the stadium attendance.

     

  • References

    1. [1] Samet, Refik, and Muhammed Tanriverdi. "Face Recognition-Based Mobile Automatic Classroom Attendance Management System." Cyberworlds (CW), 2017 International Conference on. IEEE, 2017.

      [2] Chintalapati, S., & Raghunadh, M. V. (2013, December). Automated attendance management system based on face recognition algorithms. In Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on (pp. 1-5). IEEE.

      [3] Gaddam, S. C., & Ramesh, N. V. K. (2016). Attendance Management and User Security System’s based on Eigen Faces Algorithm using Raspberry pi 2 and Ethernet. Indian Journal of Science and Technology, 9(17).

      [4] Fan, F., Hou, L., Fu, J., Chen, S., Feng, R., & Wang, J. (2015). The design of high-efficiency and synergetic attendance system. In Int. Conf. on Information Engineering for Mechanics and Materials.

      [5] Football Tripper, (2015), https://footballtripper.com/ tan-sri-dato-haji-hassan-yunos-stadium

      [6] Johor Southern Tiger, Stadium, http://johorsouthern tigers.com.my/stadium/

      [7] Kanti, J., & Sharm, S. (2012). Automated Attendance using Face Recognition based on PCA with Artificial Neural Network. International journal of science and research IJSR.

      [8] Shoewu, O., & Idowu, O. A. (2012). Development of attendance management system using biometrics. The Pacific Journal of Science and Technology, 13(1), 300-307.

      [9] Chew, C. B., Mahinderjit-Singh, M., Wei, K. C., Sheng, T. W., Husin, M. H., & Malim, N. H. A. H. (2015). Sensors-enabled smart attendance systems using NFC and RFID technologies. Int. J. New Comput. Archit. Appl, 5, 19-29.

      [10] Nortech, http://www.counting-systems.com/counting-solutions/14-sports-ground-attendance-system

      [11] Welki, A. M., & Zlatoper, T. J. (1994). US professional football: The demand for gameâ€day attendance in 1991. Managerial and decision Economics, 15(5), 489-495.

      [12] Saheed, Y. K., Hambali, M. A., Adedeji, A. A., & Adeniji, I. A. (2016) Attendance Management System Using Barcode Identification on Students’ Identity Cards.

      [13] Subramaniam, H., Hassan, M., & Widyarto, S. (2013). Bar Code Scanner Based Student Attendance System (SAS). TICOM, 1(3).

      [14] Mendonca, B. J., D'mello, G., D'souza, R., & More, J. Automated Attendance using Android Devices.

      [15] Nussli Group, Stadium Construction Projects

      [16] Schaefer, C. W. (Ed.). (1983). Instar, Stadium, and Stage: a New Look at Old Questions. Annals of the Entomological Society of America, 76(3), 315-315.

      [17] Panathinaikos FC, http://www.pao.gr/en/club/stadium

      [18] World Stadiums, http://www.worldstadiums.com/asia/countries/malaysia.shtml

      [19] Perbadanan Stadium Malaysia, http://stadium.gov.my/2017/index.php/my/arena/kompleks-sukan-negara-bukit-jalil/stadium-nasional

      [20] Sonsanea, S., Thakura, S., Suthara, P., & Sisodiab, J. Automated Attendance System.

      [21] Pielemeier, W. J., & Jessup, J. L. (1991). U.S. Patent No. 5,053,612. Washington, DC: U.S. Patent and Trademark Office.

      [22] Chintalapati, S., & Raghunadh, M. V. (2013). Automated attendance management system based on face recognition algorithms. In Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on (pp. 1-5). IEEE.

      [23] Seideman, Tony (1993), Barcodes Sweep the World.

      [24] Scandit, Types Barcodes Choosing Right Barcode, https://www.scandit.com/types-barcodes-choosing-right-barcode/

      [25] Barcode Symbologies, http://www.makebarcode.com/specs/speclist.html

      [26] Roger C. Palmer, (2007), The Bar Code Book: Fifth Edition - A Comprehensive Guide to Reading, Printing, Secifying, Evaluating, And Using Bar Code and Other Machine-Readable Symbols

      [27] BarcodesInc, Barcode Scanner Buying Guides, https://www.barcodesinc.com/info/buying-guides/barcode-scanners.html

      [28] Barcode reading apps for enterprise, (2010), codeREADr.com.

      [29] Prototyping Model in Software Engineering, http://ecomputernotes.com/software-engineering/explain-prototyping-model.

      [30] Mostafa, S.A., Ahmad, M.S., Mustapha, A. and Mohammed, M.A., 2017. Formulating layered adjustable autonomy for unmanned aerial vehicles. International Journal of Intelligent Computing and Cybernetics, 10(4), pp.430-450.

      [31] Mostafa, S.A., Ahmad, M.S., Mustapha, A. and Mohammed, M.A., 2017. Formulating layered adjustable autonomy for unmanned aerial vehicles. International Journal of Intelligent Computing and Cybernetics, 10(4), pp.430-450.

      [32] Mostafa, S.A., Mustapha, A., Ahmad, M.S. and Mahmoud, M.A., 2017. An Adjustable Autonomy Management Module for Multi-agent Systems. Procedia Computer Science, 124, pp.125-133.

      [33] Mostafa, S.A., Ahmad, M.S., Ahmad, A., Annamalai, M. and Gunasekaran, S.S., 2016, August. A Flexible Human-Agent Interaction model for supervised autonomous systems. In Agent, Multi-Agent Systems and Robotics (ISAMSR), 2016 2nd International Symposium on (pp. 106-111). IEEE.

      [34] Mostafa, S.A., Darman, R., Khaleefah, S.H., Mustapha, A., Abdullah, N. and Hafit, H., 2018, June. A General Framework for Formulating Adjustable Autonomy of Multi-agent Systems by Fuzzy Logic. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 23-33). Springer, Cham.

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  • How to Cite

    Bari’ah Mosman, A., A. Mostafa, S., Mustapha, A., Ubaidah Shamsudin, A., Ahmed Jubair, M., & Hamid Hassan, M. (2019). An Optimized Method for Automated Stadium Attendance Management System. International Journal of Engineering & Technology, 8(1.7), 112-118. https://doi.org/10.14419/ijet.v8i1.7.25965