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Class attendance management system using face recognition

Abdul Rhman Salim, Omar and Olanrewaju, Rashidah Funke and Balogun, Wasiu Adebayo (2018) Class attendance management system using face recognition. In: 7th International Conference on Computer and Communication Engineering, ICCCE 2018, 19th-20th September 2018, Kuala Lumpur, Malaysia.

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We are living in a world where everything is automated and linked online. The internet of things, image processing, and machine learning are evolving day by day. Many systems have been completely changed due to this evolve to achieve more accurate results. The attendance system is a typicalexample of this transition, starting from the traditional signature on a paper sheet to face recognition. This paper proposes a method of developing a comprehensive embedded class attendance systemusing facial recognition with controlling the door access. The system is based on Raspberry Pi thatruns Raspbian (Linux) Operating System installed on micro SD card. The Raspberry Pi Camera, as well as a 5-inch screen, are connected to the Raspberry Pi. By facing the camera, the camera will capture the image then pass it to the Raspberry Pi which is programmed to handle the face recognition by implementing the Local Binary Patterns algorithm LBPs. If the student's input image matches withthetrained dataset image the prototype door will open using Servo Motor, then the attendance results will be stored in the MySQL database. The database is connected to Attendance Management Syste(AMS) web server, which makes the attendance results reachable to any online connected web browser.The system has 95{\% accuracy with the dataset of 11 person images.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6796/70809
Uncontrolled Keywords: attendance system , LBPs , face recognition algorithm , Raspberry Pi
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering
Depositing User: Dr. Rashidah Funke Olanrewaju
Date Deposited: 19 Feb 2019 15:30
Last Modified: 19 Feb 2019 15:30
URI: http://irep.iium.edu.my/id/eprint/70809

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