Abstract
The emergence of the big data era and the economic significance of facial recognition technology have greatly increased the prospects and market demand for this technology. The purpose of this essay is to design a real-time video-based facial recognition attendance system. This article primarily sets four directions to consider the issues: the face recognition attendance system's truancy rate with real-time video processing, the stability of the system with real-time video processing, the accuracy rate of the system during actual check-in, and the interface settings of the system with real-time video processing. A PYTHON script and a SQL database are used to support the proposed system, which was developed on the Miniconda platform. The algorithm used by the system is based on image comparison, comparing the picture recorded by the system while it is running with the encoded values of the face from the image from the database..
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