Using Bluetooth For Attendance Management System
DOI:
https://doi.org/10.63783/Keywords:
Công nghệ bluetooth, điểm danh tự độngAbstract
Proposal to use bluetooth technology for automatic timekeeping. In traditional manual methods, attendance checks are accurate but time consuming. Some applications use fingerprint technology, QR code (Quick Response code), barcode, RFI (Radio-Frequency Identification) to speed up time attendance, but still do not save costs, complicated settings and fraud is unavoidable. Our solution helps to improve the above disadvantages thanks to the popularity of bluetooth-integrated mobile devices, as well as thanks to the advantages of this technology such as long wireless connection distance, high speed and high bandwidth,...
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References
Madhvi Verma, Satbir Singh, Baljit Kaur An, Overview of Bluetooth Technology and its Communication Applications, International Journal of Current Engineering and Technology, Vol.5, No.3, 2015.
Kotevski, Zoran, Natasa Blazheska-Tabakovska, Andrijana Bocevska, and Tome Dimovski. “On the technologies and systems for student attendance tracking”, International Journal of Information Technology and Computer Science 10, No. 10, p44-52, 2018.
Riya Lodhaa, Suruchi Guptaa, Harshil Jaina, Harish Narula, Bluetooth Smart based Attendance Management System. ICACTA -2015, Procedia Computer Science 45, p524 – 527, 2015.
Rjeib, Hasanein D., Nabeel Salih Ali, Ali Al Farawn, Basheer Al-Sadawi, and Haider Alsharqi. Attendance and information system using RFID and web-based application for academic sector, International Journal of Advanced Computer Science and Applications 9, No. 1, 2018.
Rudra Malali, Naman Jangid, Pranjali Satish Deshmukh, Halgaonkar Prasad S, Bluetooth Automatic Attendance Management using Android Application, IJITEE, Volume-8, Issue-8S3, June 2019.
Asri, Agon Memeti, Florinda Imeri, Betim Cico, Smart Attendance System using QR Code, Mediterranean Conference on Embedded Computing (MECO), 2020.
Thanh Hải Nguyễn, et al., Giải pháp điểm danh sinh viên bằng nhận diện gương mặt với đặc trưng Haar-Like kết hợp thuật toán rừng ngẫu nhiên, Kỷ yếu Hội thảo khoa học quốc gia CITA, 2020.
Lý Tú Nga, Huỳnh Khả Tú, Chiêm Quốc Hùng, Hệ thống điểm danh tự động bằng công nghệ nhận dạng tần số vô tuyến với khoảng cách tầm xa, Kỷ yếu Hội nghị KHCN Quốc gia lần thứ XIV, 2021.
