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Design and Implementation of a Computerised Face Detection and Recognition System
Content Structure of Design and Implementation of a Computerised Face Detection and Recognition System
The abstract contains the research problem, the objectives, methodology, results, and recommendations
- Chapter one of this thesis or project materials contains the background to the study, the research problem, the research questions, research objectives, research hypotheses, significance of the study, the scope of the study, organization of the study, and the operational definition of terms.
- Chapter two contains relevant literature on the issue under investigation. The chapter is divided into five parts which are the conceptual review, theoretical review, empirical review, conceptual framework, and gaps in research
- Chapter three contains the research design, study area, population, sample size and sampling technique, validity, reliability, source of data, operationalization of variables, research models, and data analysis method
- Chapter four contains the data analysis and the discussion of the findings
- Chapter five contains the summary of findings, conclusions, recommendations, contributions to knowledge, and recommendations for further studies.
- References: The references are in APA
- Questionnaire.
Abstract Of Design and Implementation of a Computerised Face Detection and Recognition System
A society with accurate and updated database of her citizens will face less crime. Imagine a society where citizens know that their faces and personal details are kept somewhere by the police or other relevant security agencies. The individual will maintain peace and order as he/she knows any crime committed by him/her will eventually lead to his/her arrest once his/her picture is captured by a secret camera. Faced with the numerous security challenges facing developing nations such as Nigeria, the researcher developed a computerized system where faces are captured and stored in the database for retrieval purposes, should in case faces need to be identified. The system was built with c# and MYSQL with a powerful potential of identifying graphical images uploaded to the system for identification as long as the database is updated with the face prior to retrieval of information.
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