Abstract
In today's digital world, in almost every field, the face recognition technology plays a vital role. The attendance marking system has become difficult and interesting. This system of automation is used for surveillance, authentication, recognition of the face of a specific person, and has many more benefits. Everyone is adopting the conventional method of taking attendance these days, this consumes more time, and there could be possibilities for proxy participation. We used several libraries in this automation framework, such as OpenCV, face recognition, and Harr-cascade classifier. Using a Haar-cascade classifier, face detection and recognition are executed. And, in the Excel sheet, the attendance is revised.
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Chanti, Y., Lokeshwar, A., Nischitha, M., Supriya, C., Malavika, R. (2023). Face Recognition-Based Automatic Attendance System. In: Choudrie, J., Mahalle, P., Perumal, T., Joshi, A. (eds) IOT with Smart Systems. Smart Innovation, Systems and Technologies, vol 312. Springer, Singapore. https://doi.org/10.1007/978-981-19-3575-6_36
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DOI: https://doi.org/10.1007/978-981-19-3575-6_36
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