SmartPresence: Event Attendance System Using Mask and Temperature Detection and QR Code Based Validation
Keywords:
IOT, SmartPresence, Sensors, Temperature sensor, Mask detection, QR Code, Attendance trackingAbstract
As the world is slowly recovering from the pandemic, there is an emerging need for innovative solutions to ensure the safety and security of people at public events. The proposed project, SmartPresence (an IoT-based Event Attendance System) offers an efficient and contactless solution for attendance tracking and management. The system is engineered to streamline the process of recording attendance by using a contactless temperature sensor to detect the user's temperature. If the temperature matches the threshold value, the user's QR code is scanned, and attendance is marked. However, if the temperature exceeds the limit, the user is notified of fever and not admitted to the event. The system also includes mask detection technology, ensuring that attendees wear masks while attending the event. With its easy-to-use and efficient design, the system offers a simplified automated attendance management process. This approach eliminates the need for physical contact and close proximity, ensuring the safety of all attendees while maintaining proper sanitation measures. Additionally, the system generates accurate and reliable attendance reports, enabling organizers to monitor attendance and ensure regulatory compliance. The proposed project has great potential to enhance the safety and security of public events. It’s an easy-to-use design, coupled with its accurate and reliable attendance management capabilities, can simplify the event management process, streamline attendance tracking, and improve safety measures. As the world continues to navigate the post-pandemic landscape, the IoT-based Event Attendance System can play a crucial role in ensuring the safety of attendees at public events and gatherings.
Downloads
References
Varshini, B., et al. "IoT-Enabled smart doors for monitoring body temperature and face mask detection." Global Transitions Proceedings 2.2 (2021): 246-254.
Selvadass, S., Paul, J.J., Bella Mary I, T. et al. IoT-Enabled smart mask to detect COVID19 outbreak. Health Technol. 12, 1025– 1036 (2022). https://doi.org/10.1007/s12553-022-00695-2
Ghosh, Aritra, Srijita Nundy, and Tapas K. Mallick. "How India is dealing with COVID-19 pandemic." Sensors International 1 (2020): 100021.
Selvadass, Salomi, et al. "IoT-Enabled smart mask to detect COVID19 outbreak." Health and Technology 12.5 (2022): 1025- 1036.
STOLOJESCU-CRISAN, Cristina, Bogdan-Petru BUTUNOI, and Calin CRISAN. "Iot based intelligent building applications in the context of covid-19 pandemic." 2020 international symposium on electronics and telecommunications (ISETC). IEEE, 2020.
Nagrath, Preeti, et al. "SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2." Sustainable cities and society 66 (2021): 102692.
Stupina, M. V., K. V. Anistratenko, and L. O. Pazina. "Using the QR code as a means of automating the process of accounting for attendance at educational classes." Journal of Physics: Conference Series. Vol. 2131. No. 2. IOP Publishing, 2021.
Hoback, John R. "The problem of attendance." NASSP Bulletin 60.397 (1976): 20-27.
Bowen, Eleri, et al. "Improving the quantity and quality of attendance data to enhance student retention." Journal of Further and Higher Education 29.4 (2005): 375-385.
Sudianto, Agus, et al. "Smart temperature measurement system for milling process application based on mlx90614 infrared thermometer sensor with Arduino." Journal of Advanced Research in Applied Mechanics 72.1 (2020): 10-24.
Abirami, M., K. Saundariya, and I. Yamuna. "Contactless temperature detection of multiple people and detection of possible corona virus affected persons using AI enabled IR sensor camera." 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2021.
Ulleri, Pranesh, et al. "Development of contactless employee management system with mask detection and body temperature measurement using TensorFlow." 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2021.
Preetha P S, Tajuddin R Nadaf, Vinod Kumar M, Sayed Tahir M Kittur, 2022, Contactless Temperature Sensor, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) ICEI – 2022 (Volume 10 – Issue 11)
Varshini B, Yogesh HR, Pasha SD, Suhail M, Madhumitha V, SSasi
A. IoT-Enabled smart doors for monitoring body temperature and face mask detection. Global Transitions Proceedings. 2021 Nov;2(2):246–54. doi: 10.1016/j.gltp.2021.08.071. Epub 2021 Aug 12. PMCID: PMC8358087.
Xia, Weiran, Jiantao Yan, and Yunzhe Li. "STM32-Based Contactless Temperature Measurement and Identification Device." IOP Conference Series: Earth and Environmental Science. Vol. 692. No. 2. IOP Publishing, 2021.
Masalha, Fadi, and Nael Hirzallah. "A students attendance system using QR code." International Journal of Advanced Computer Science and Applications 5.3 (2014)
El-Mawla, Abd, Mohamed Ismaiel, and A. S. Q. R. Team. "Smart Attendance System Using QR-Code, Finger Print and Face Recognition." Nile Journal of Communication and Computer Science 2.1 (2022): 1-16.
Deugo, D. "Using qr-codes for attendance tracking." Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2015.
Roza, Liszulfah, et al. "Measuring Room and Object Temperature Using MLX90614 Infrared Temperature Based on Arduino." TIME in Physics 1.1 (2023): 37-41.
Adusumalli, Harish, et al. "Face mask detection using opencv." 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). IEEE, 2021.
J. Baidya, T. Saha, R. Moyashir, and R. Palit, “Design and implementation of a fingerprint based lock system for shared access,” 2017 IEEE 7th Annu. Comput. Commun. Work. Conf. CCWC 2017, vol. 07, no. 04, pp. 13–19, 2017.[8]J. Baidya, T. Saha, R. Moyashir, and R. Palit, “Design and implementation of a fingerprint based lock system for shared access,” 2017 IEEE 7th Annu. Comput. Commun. Work. Conf. CCWC 2017, vol. 07, no. 04, pp. 13–19, 2017.
M. O. Sibuea, “Pengukuran Suhu dengan Sensor Suhu Inframerah MLX90614 Berbasis Arduino,” Yogyakarta: Teknik Elektro, Universitas Sanata Dharma, 2018.
Gonnot, T., Yi, W.-J., Monsef, E., Saniie, J.: Home automation device protocol (HADP): A protocol standard for unified device interactions. Adv. Internet Things 5, 2738 (2015)
Vinay sagar, K.N., Kusuma, S.M.: Home automation using internet of things. Int. Res. J. Eng. Technol. (IRJET) 02(03) (2015). e- ISSN: 2395- 0056
Krishna, N. ., R., A. ., John, N. M. ., & Kurian, S. M. . (2023). Training and Classification of PCA with LRM model for Diabetes Prediction . International Journal on Recent and Innovation Trends in Computing and Communication, 11(4s), 08–15. https://doi.org/10.17762/ijritcc.v11i4s.6302
Mondal , D. (2021). Green Channel Roi Estimation in The Ovarian Diseases Classification with The Machine Learning Model . Machine Learning Applications in Engineering Education and Management, 1(1), 07–12.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Kaushalya Thopate, Ranjeetsingh Suryawanshi, Jyoti Kanjalkar, Radhika V. Kulkarni, Pramod Kanjalkar, Sandip Shinde
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
