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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    SMART ATTENDANCE SYSTEM USING OPENCV BASED ON FACE DETECTION
    Mrs. R. Loga Priya, Mr. M. Dineshkumar, Mr. N. Sundaresan, Mr. K. Dinesh Kumar
    Journal of Data Acquisition and Processing, 2023, 38 (2): 3054-3090 . 

    Abstract

    The crucial component of the human body that fascinatingly identifies a person is their face. The face recognition framework can be implemented by using the facial characteristics as a biometric. Stamping participation is always the most difficult process. The teachers get down on the students in the traditional participation framework and mark their attendance or absence as necessary. In any event, these traditional approaches are tiresome and boring. The Open CV-based face acknowledgment approach has been suggested for this project. This model manages a camera that takes a data picture, a calculation for identifying a face from a data picture, encoding and differentiating the face, and designating the participation in a bookkeeping sheet. The photos that have been cropped are then saved as a data collection with unique names. methods for developing a foundation for face recognition participation in light of handling of ongoing videos. This article primarily establishes four axes to consider difficulties include: the face recognition system's speed during actual registration, the security of the face recognition participation framework with continuous video handling, the speed of the face recognition framework for participation with ongoing video handling, and the facial recognition participation system's connection point settings make use of continuous video handling. By looking into how these problems are being handled, a participation framework for face recognition innovation is suggested, and the feasibility of this framework in light of ongoing video processing is investigated.

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ISSN 1004-9037

         

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