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AI-Based Motorized Appearance Acknowledgement Scheme for an Attendance Marking System
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Author(s): Swapna B. (Dr. M. G. R. Educational and Research Institute, India), M. Kamalahasan (Dr. M. G. R. Educational and Research Institute, India), S. Gayathri (Karpagam College of Engineering, India), S. Srinidhi (Dr. M. G. R. Educational and Research Institute, India), H. Hemasundari (Dr. M. G. R. Educational and Research Institute, India), S. Sowmiya (Dr. M. G. R. Educational and Research Institute, India)and S. Shavan Kumar (Dr. M. G. R. Educational and Research Institute, India)
Copyright: 2022
Pages: 12
Source title:
Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada)and V. Vinoth Kumar (Jain University, India)
DOI: 10.4018/978-1-7998-9640-1.ch007
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Abstract
Staff attendance exists as the greatest historical overwhelming chore in each institution. Existing presence scheme is typically grounded in RFID, IRIS, impression, and uniform notepad. Those schemes necessitate corporeal communication. One and all must wait until the preceding worker goes through the queue. The authors develop an appearance acknowledgement-based staff presence scheme by means of AI. With the help of deep learning and datasets, the scheme senses the position and recognizes which appearance goes to which ID and marks attendance in the datasheet. Then it is exported as an Excel sheet. All resemblance and datasets are protected.
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