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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Published Paper Details
Authors Name: Vasireddy Prashanth , Chenna Lokhsai Goud , Sure Tirupathi Rao , Anneboina Rahul Goud , Mrs. S K Umamaheswari
Unique Id: IJSDR2305035
Published In: Volume 8 Issue 5, May-2023
Abstract: The device ought to detect the faces of students inside the lecture room with an accuracy of 30%. The machine will robotically display the quantity of students gift within the GUI. Recognize college students in a database of faces stored by means of matching them with photos within the database with an accuracy of 30%. The machine have to suit the faces of the scholars detected from the photo with the faces in the database system. The imaging gadget must continue for 10 minutes to gain the goal reputation via the quit of the lecture. The ones five names consistent with hour in keeping with lesson. The algorithm for the function of the applied gadget allows to attain the accuracy of the system inside 20%. We ensure that the positive must be inside 20%. The developed machine may be user-pleasant with a graphical user interface so one can serve as an get entry to to the system's capability.
Keywords: Face recognition, deep learning, smart attendance
Cite Article: "REAL TIME SMART ATTENDENCE SYSTEM USING FACE RECOGNITION TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.248 - 257, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305035.pdf
Downloads: 000223171
Publication Details: Published Paper ID: IJSDR2305035
Registration ID:205604
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 248 - 257
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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