Ho, Hwa Sheng (2021) Real time face recognition using Raspberry Pi for class attendance system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
Face recognition is one of the preferred biometric authentication that widely used in various applications nowadays. Some application such as in law enforcement systems, border control management systems, smartphone unlock systems and etc. One of the key advantage is provide faster verification and identification process that run in real-time. Therefore, can implement this technology to attendance system due to this advantage. First, it can reduce the time taken for attendance marking process when consider in the case of having large amount of attendant. Furthermore, eliminate the chances of any proxy attendance due to real-time processing. In this paper, the project use face recognition algorithm implemented in Raspberry Pi for class attendance system. Local binary patterns histograms (LBPH) is used as face recognizer in this study.
| Item Type: | Final Year Project (Project Report) |
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| Uncontrolled Keywords: | Face recognition, Biometric authentication, Attendance system, Raspberry Pi, LBPH algorithm |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Library > Final Year Project > FKEKK |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 07 Apr 2025 02:37 |
| Last Modified: | 07 Apr 2025 02:37 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/35422 |
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