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 An Automated Student Attendance System Based on Face Recognition
Tác giả hoặc Nhóm tác giả: Mai Lam và Võ Hùng Cường
Nơi đăng: Hội thảo khoa học Quốc gia Công nghệ Thông tin và ứng dụng trong các lĩnh vực; Số: ISBN: 978-604-80-2853-4;Từ->đến trang: 74-79;Năm: 2017
Lĩnh vực: Công nghệ thông tin; Loại: Bài báo khoa học; Thể loại: Trong nước
TÓM TẮT
As results of the challenges of the manual method of taking student
attendance in colleges and universities, an automated attendance system requires to be applied. The challenges consist of effort in keeping the attendance
list over a long period of time, unnecessary time waste during calling and
checking student’s name, students forgetting to sign the attendance list, lecturers forgetting the attendance list in the classroom, students passing illegally for
an absentee among others. There are many automatic methods available for this
purpose i.e. a biometric attendance system. All these methods, however, also
waste time because students have to make a queue to touch their thumb on a
scanning device. In this paper, we propose an efficient method that automatically marks the attendance without human interference. This attending is recorded
by using a camera attached in front of classroom that is continuously capturing
images of students, detect the faces in images and compare the detected faces
with the database and mark the appearance.
ABSTRACT
As results of the challenges of the manual method of taking student
attendance in colleges and universities, an automated attendance system requires to be applied. The challenges consist of effort in keeping the attendance
list over a long period of time, unnecessary time waste during calling and
checking student’s name, students forgetting to sign the attendance list, lecturers forgetting the attendance list in the classroom, students passing illegally for
an absentee among others. There are many automatic methods available for this
purpose i.e. a biometric attendance system. All these methods, however, also
waste time because students have to make a queue to touch their thumb on a
scanning device. In this paper, we propose an efficient method that automatically marks the attendance without human interference. This attending is recorded
by using a camera attached in front of classroom that is continuously capturing
images of students, detect the faces in images and compare the detected faces
with the database and mark the appearance.
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