Received: 03-07-2023
Accepted: 05-01-2024
DOI:
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A Solution for Attendance Checking with Face Recognition Technology and Application at Laboratories in Faculty of Information Technology
,
Nguyen Tien Hien
1
,
Le Van Dung
1
,
Le Phuong Thao
1
,
Nguyen Thi Huyen
1
Keywords
Multi-tasking deep learning networks, FaceNet, support vector machine, face detection, face recognition, classattendance
Abstract
Each human face has anunique characteristic so the face image is used as a security key to access personal accounts in many domains such as bankings, E-commerce services, phone or computer personal accounts. This study aimed to introduce a new solution for class attendance checking by using face recognition technology when combining multi-tasking deep learning networks, to detect faces in photos or videos, encryption of FaceNet to digitize detected faces and support vertor machine clustering algorithm to search and match the face to be recognized with the face stored in the database. This research has obtained a database of student attendance, a computer program that implements the attendance by facial recognition technology, and analyzed and evaluated the effectiveness of other attendance methods, included: using photographs of small group of student and using a webcam connected to a computer in automatic and semi-automatic modes. With this kind of attendance checking system, teachers can control students' class attendance, easily detect cheating in study and examination in both theory and practicum coursesand the final exams.
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