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This study invested the face recognition system as a method of authentication for recognition of students in Mengo Senior secondary school. The objectives of the study where to study the inherent weaknesses of other technologies that are already existing, to determine the requirements for the Face Recognition Systems as a method of authentication for Mengo Senior School, to design the Face Recognition System for the purpose of authentication and to implement a working prototype of the Face Recognition System as a method of authentication for Mengo Senior School. The methods used in data…mehr

Produktbeschreibung
This study invested the face recognition system as a method of authentication for recognition of students in Mengo Senior secondary school. The objectives of the study where to study the inherent weaknesses of other technologies that are already existing, to determine the requirements for the Face Recognition Systems as a method of authentication for Mengo Senior School, to design the Face Recognition System for the purpose of authentication and to implement a working prototype of the Face Recognition System as a method of authentication for Mengo Senior School. The methods used in data collection were structured questionnaires and interviews.The author used C# programming language to develop the algorithms of the system. Visual Studio was also used to design interfaces and open CV libraries. Thus, the system was developed, tested and proved to be successful. In organizations, Back up systems should always be used.
Autorenporträt
Baluku Samson Mahindasi, MBA-IT, Université de Nkumba, comptable. Centre de développement rural de Kagando, Kasese, Ouganda. Benard Ogere Ekemu, MSc.IT, Sikkim Manipal University of Health and Technological Sciences, Inde, HOD CIT Nkumba University Entebbe Uganda.