Abstract
The traditional fingerprint-based presence system and the geographic location on the mobile phone are not always efficient. First of all, it may leak personal information and privacy. Besides, it is easy to cause a fraud when users alter the GPS information of their mobile phones. What’s more, the mode of the traditional attendance system is not flexible enough. In our demonstration, we construct an intelligent attendance system (abbreviated as IAS), which is based on hybrid criteria matching. The front-end of IAS is WeChat applet. In IAS, we take hybrid criteria matching model as the core. The model organically combines multiple matching criteria in order to ensure the strength of attendance management. The innovation of the system is hybrid criteria matching and multiple operation modes. The hybrid criteria matching model associates a variety of matching criteria such as image matching, Wi-Fi matching and geographic location matching, which can increase the supervision intensity of attendance on the basis of ensuring the information security of users. Meanwhile, this system also provides managers with multiple operation modes, such as periodic attendance mode and personnel batch management mode, to meet the needs of multiple attendance activities, and evidently reduces the burden on managers, which lead to higher efficiency.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China (61772231), the Industry-Academy Cooperative Education Project of Ministry of Education (201801002030 & 201702185051), the Shandong Provincial Natural Science Foundation (ZR2017MF025), the Project of Shandong Provincial Social Science Program (18CHLJ39), the Science and Technology Program of University of Jinan (XKY1734 & XKY1828), and the Project of Independent Cultivated Innovation Team of Jinan City (2018GXRC002).
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Zhang, F., Yu, J., Ma, K. (2021). IAS: Intelligent Attendance System Based on Hybrid Criteria Matching. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_48
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DOI: https://doi.org/10.1007/978-3-030-71187-0_48
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