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Attendance Management using Facial Recognition

EasyChair Preprint no. 2893

4 pagesDate: March 8, 2020


Automatic face recognition (AFR) technologies have made many improvements in the changing world. Smart Attendance using Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on high - definition monitor video and other information technology. In my face recognition project, a computer system will be able to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for  improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically

Keyphrases: Convolution Neural Networks, deep learning, face recognition

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Bhautik Gondaliya and Shankar Sontakke and Kuldeep Suryawanshi and Tapsi Sonawane and Rupali Satpute},
  title = {Attendance Management using Facial Recognition},
  howpublished = {EasyChair Preprint no. 2893},

  year = {EasyChair, 2020}}
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