ISAC: IoT-Enabled Smart Attendance Check

被引:0
|
作者
Biernat, Zachary [1 ]
Cedeno, Alana [1 ]
Jung, Andrew [1 ]
机构
[1] Univ Hartford, Dept Comp Sci, Hartford, CT 06117 USA
来源
2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023 | 2023年
关键词
Internet of Things (IoT); smart attendance; deep learning; computer vision;
D O I
10.1109/CSCI62032.2023.00162
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In today's society, there have been advancements with technology, especially in the IoT field, which has made many contributions to make people's daily lives more convenient and easier by allowing them to work smarter. In this project, we focus on developing an accurate time-tracking smart attendance system to help instructors and students to enhance participation in class. Our proposed system utilizes a Raspberry Pi, cameras modules, RFID cards, and an RFID reader placed in a classroom to uniquely identify each student that enters and leaves the room, as well as count the number of students that are present to solve the problems of using the attendance sheets such as the time it takes and the impreciseness of it. The system will then send the student attendance information to the instructor's phone via a mobile app in real-time. When testing our system in a real environment, it was found that it can correctly sign in students with the RFID scanner and store the data in the database, as well as detect the number of people in the room using computer vision.
引用
收藏
页码:978 / 982
页数:5
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