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Smart Attendance Monitoring System using ESP8266 with GUI Interface

Authors: Brajesh Kumar;

Smart Attendance Monitoring System using ESP8266 with GUI Interface

Abstract

The Smart attendance Monitoring System is a comprehensive solution designed to enhance the efficiency and effectiveness of attendance operations. This project focuses on developing a user-friendly graphical user interface (GUI) using PHP and integrating an esp8266 microcontroller with an RFID card and reader for seamless attendance management. The objective of this project is to streamline attendance processes. By utilizing PHP for the GUI, users can easily interact with the system through an intuitive and visually appealing interface. The esp8266 microcontroller, in conjunction with the RFID card and reader, enables quick identification and tracking of attendance and employees members. The Smart Attendance Monitoring System aims to overcome the limitations of traditional attendance Monitoring systems by offering features such as automated emailing check-in and check-out, real-time inventory management, and personalized user profiles. Through RFID technology, the system provides accurate and efficient tracking of attendance, reducing the chances of loss or misplacement. During the development process, various software tools and technologies were utilized, including PHP programming language for the GUI, esp8266 microcontroller for hardware integration, and RFID technology for employee’s identification. The project involved designing the system architecture, implementing the GUI, integrating the microcontroller and RFID reader, and conducting thorough testing and evaluation. The results of the project demonstrate the successful implementation and functionality of the Smart Library Management System.

{"references": ["1.\tWei, X., Manori, A., Devnath, N., Pasi, N., & Kumar, V. (2017). QR Code Based Smart Attendance System. International Journal of Smart Business and Technology, 5(1), 1-10.", "2.\tMothwa, L., Tapamo, J. R., & Mapati, T. (2018, November). Conceptual model of the smart attendance monitoring system using computer vision. In 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 229-234). IEEE.", "3.\tHalder, R., Chatterjee, R., Sanyal, D. K., & Mallick, P. K. (2020). Deep learning-based smart attendance monitoring system. In Proceedings of the Global AI Congress 2019 (pp. 101-115). Springer Singapore.", "4.\tShah, S. N., & Abuzneid, A. (2019, May). IoT based smart attendance system (SAS) using RFID. In 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT) (pp. 1-6). IEEE.", "5.\tSultana, S., Enayet, A., & Mouri, I. J. (2015). A smart, location based time and attendance tracking system using android application. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 5(1), 1-5.", "6.\tKhan, A., Jhanjhi, N. Z., & Humayun, M. (2020). Secure smart and remote multipurpose attendance monitoring system. eai endorsed transactions on energy web, 7(30).", "7.\tSawhney, S., Kacker, K., Jain, S., Singh, S. N., & Garg, R. (2019, January). Real-time smart attendance system using face recognition techniques. In 2019 9th international conference on cloud computing, data science & engineering (Confluence) (pp. 522-525). IEEE."]}

Keywords

RFID, GUI, esp8266

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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