Development of a student attendance and academic performance monitoring system as a mobile application
The goal of this thesis is to design a student attendance and academic performance monitoring system as a mobile application. The group utilizes Local Binary Pattern Histogram (LBPH) algorithm for the facial recognition. This project is implemented through Android operating system platform. By doing...
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oai:animorepository.dlsu.edu.ph:etd_bachelors-121482022-03-11T07:39:03Z Development of a student attendance and academic performance monitoring system as a mobile application Argosino, Joseph Allen A. Manangan, Phillmonn D. Naui, John Anthony H. Ribay, Annel Mardine P. The goal of this thesis is to design a student attendance and academic performance monitoring system as a mobile application. The group utilizes Local Binary Pattern Histogram (LBPH) algorithm for the facial recognition. This project is implemented through Android operating system platform. By doing this research, it can be able to help the problems in attendance checking in classes. Letting the students confirm their attendance through mobile phones would save time. Furthermore, this study helps in the evaluation of the performance of the students. The professors can easily view the results of the activity and convey it to the students. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/11503 Bachelor's Theses English Animo Repository Academic achievement--Philippines College students--Philippines School attendance--Philippines Electrical and Electronics Engineering |
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Academic achievement--Philippines College students--Philippines School attendance--Philippines Electrical and Electronics Engineering Argosino, Joseph Allen A. Manangan, Phillmonn D. Naui, John Anthony H. Ribay, Annel Mardine P. Development of a student attendance and academic performance monitoring system as a mobile application |
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The goal of this thesis is to design a student attendance and academic performance monitoring system as a mobile application. The group utilizes Local Binary Pattern Histogram (LBPH) algorithm for the facial recognition. This project is implemented through Android operating system platform. By doing this research, it can be able to help the problems in attendance checking in classes. Letting the students confirm their attendance through mobile phones would save time. Furthermore, this study helps in the evaluation of the performance of the students. The professors can easily view the results of the activity and convey it to the students. |
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text |
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Argosino, Joseph Allen A. Manangan, Phillmonn D. Naui, John Anthony H. Ribay, Annel Mardine P. |
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Argosino, Joseph Allen A. Manangan, Phillmonn D. Naui, John Anthony H. Ribay, Annel Mardine P. |
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Argosino, Joseph Allen A. |
title |
Development of a student attendance and academic performance monitoring system as a mobile application |
title_short |
Development of a student attendance and academic performance monitoring system as a mobile application |
title_full |
Development of a student attendance and academic performance monitoring system as a mobile application |
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Development of a student attendance and academic performance monitoring system as a mobile application |
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Development of a student attendance and academic performance monitoring system as a mobile application |
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development of a student attendance and academic performance monitoring system as a mobile application |
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Animo Repository |
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2014 |
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https://animorepository.dlsu.edu.ph/etd_bachelors/11503 |
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