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Facial Recognition Based Attendance Tracking System Using Computer Vision & Machine Learning

Author(s):

Kunal Kanse , S B Patil college of engineering, indapur; Dr. Shirkande S.T., S B Patil college of engineering, indapur; Shreyash Gaikwad, S B Patil college of engineering, indapur; Hrutik Sargar, S B Patil college of engineering, indapur

Keywords:

Face Recognition, Attendance Management System, Smart Campus, Biometric Surveillance, Computer Vision, Authentication, Validation, Machine Learning

Abstract

AFR stands for automatic face reputation is seen dramatic universal overall performance advancements over the previously times, and analogous systems are now significantly used for protection and marketable operations. An automated device for mortal face recognition in an actual time history for a council daily mark the attendance of their college students. So Attendance using actual Time Face reputation is an actual- global result which comes with exertion of managing pupil’s attendance. The venture is really delicate because the actual time history deduction in a photo remains an undertaking. To descry actual time mortal face are used and an easy rapid famous individual element evaluation has used each day recognize the faces detected with a excessive delicacy rate. The faces that fit the ones attendance receives marked. Our system maintains the attendance records of college students routinely. Guide getting into logbooks becomes a sensitive assignment and it also wastes the time. So, we designed an effective module that incorporates of face recognition to manipulate the attendance records of students. Our module also enrols the organization of faces. This approach of enrolment is best as soon as and their face will receives saved in database. The consequences showed bettered basic overall performance over guide attendance operation system. Attendance is marked after identification. This product gives a whole lot farther consequences with accurate effects in man or woman interactive manner instead of being attendance and leave operation systems.

Other Details

Paper ID: IJSRDV11I30023
Published in: Volume : 11, Issue : 3
Publication Date: 01/06/2023
Page(s): 26-28

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