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Android Application for Smart Attendance Management System by Using Face Recognition

EasyChair Preprint no. 2969

6 pagesDate: March 16, 2020

Abstract

Stylish Attendance using Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling student attendance classification. Face recognition-based attendance classification is a process of recognizing the students face for charming attendance by using face biometrics based on high - definition monitor video and additional information technology. Manual entering of attendance in logbooks becomes a difficult task and it also wastes the time. So it is designed a competent module that comprises of face recognition to manage the attendance records of employees. Our module enrolls the staff’s face. This enrolling is a onetime process and their face will be stored in the database. During enrolling of face it require a system since it is a onetime process. It is proposed an automatic audience management classification. It was entirely based on face recognition and the face recognition. This both detection and recognition will mechanically detect the students in the classroom and scratch the attendance by recognizing the person. This research includes for Face detection Students and system is based on CNN perspectives and algorithms.

Keyphrases: Attendance System, Convolution Neural Network, deep learning, Face attendance, face detection, face recognition, Smart Attendance, student management

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2969,
  author = {S. Kavinkumar and R. Umamaheswari and R. C. Karpagalakshmi},
  title = {Android Application for Smart Attendance Management System by Using Face Recognition},
  howpublished = {EasyChair Preprint no. 2969},

  year = {EasyChair, 2020}}
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