Smart Attendance Management System Using Face Recognition

Bhatti, Kaneez Laila and Mughal, Laraib and Khuhawar, Faheem Yar and Memon, Sheeraz Ahmed (2018) Smart Attendance Management System Using Face Recognition. EAI Endorsed Transactions on Creative Technologies, 5 (17): 4. ISSN 2409-9708

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To maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update with corresponding time and subject id. We have used deep learning techniques to develop this system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare feature facial of students to recognize them. Our system is capable to identify multiple faces in real time.

Item Type: Article
Uncontrolled Keywords: Deep learning, python, Image Processing, Face_Recognition, Electron JS, HOG
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Sep 2020 11:12
Last Modified: 08 Sep 2020 11:12

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