IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

AI-Based Motorized Appearance Acknowledgement Scheme for an Attendance Marking System

AI-Based Motorized Appearance Acknowledgement Scheme for an Attendance Marking System
View Sample PDF
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

Purchase

View AI-Based Motorized Appearance Acknowledgement Scheme for an Attendance Marking System on the publisher's website for pricing and purchasing information.

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.

Related Content

Prasanna Ranjith Christodoss, Rajesh Natarajan. © 2022. 14 pages.
K. Uday Kiran, Gowtham Mamidisetti, Chandra shaker Pittala, V. Vijay, Rajeev Ratna Vallabhuni. © 2022. 12 pages.
Amalraj Irudayasamy, Prasanna Ranjith Christotodoss, Rajesh Natarajan. © 2022. 20 pages.
Koppula Srinivas Rao, S. Saravanan, Kasula Raghu, V. Rajesh, Pattem Sampath Kumar. © 2022. 15 pages.
Swapna B., Arulmozhi P., Kamalahasan M., Anuradha V., Meenaakumari M., Hemasundari H., Aathilakshmi T.. © 2022. 21 pages.
Archana K. S., Sivakumar B., Siva Prasad Reddy K.V, Arul Stephen C., Vijayalakshmi A., Ebenezer Abishek B.. © 2022. 15 pages.
Swapna B., M. Kamalahasan, S. Gayathri, S. Srinidhi, H. Hemasundari, S. Sowmiya, S. Shavan Kumar. © 2022. 12 pages.
Body Bottom