dc.contributor.advisor | Benjamin M. Mahinay Jr., MIT | |
dc.contributor.author | Billones, Ken Lloyd L. | |
dc.contributor.author | Cavan, Princess Joana Kylie G. | |
dc.contributor.author | Obeja, Rene Ceasar L. | |
dc.date.accessioned | 2025-03-17T12:26:43Z | |
dc.date.available | 2025-03-17T12:26:43Z | |
dc.date.issued | 2022-07 | |
dc.identifier.uri | https://repository.umindanao.edu.ph/handle/20.500.14045/1502 | |
dc.description | In Partial Fulfillment of the Requirements for the Degree Bachelor of Science in Information Technology | en_US |
dc.description | Includes bibliographic references and appendices | |
dc.description.abstract | The research focuses on addressing the lack of technology for identifying wanted criminals. The goal was to develop a facial recognition system, named "CriminaDector," to assist law enforcement in identifying these individuals. The study was conducted through interviews with potential beneficiaries, including law enforcement officials, and the results showed that the system was effective in identifying wanted criminals. However, the system has some limitations, such as only being able to identify one person at a time and taking 2-3 seconds for complete detection. Despite these limitations, the system still represents a significant advancement in the field of criminal identification. The conclusion of the study is that CriminaDector is a useful tool for law enforcement and there is a need for more advanced technology in detecting wanted criminals. The system's strength lies in its ability to accurately identify the wanted criminal if detected. It has the potential to greatly improve the efficiency of law enforcement and increase public safety. This study contributes to the field of criminal identification by providing a new and innovative solution using facial recognition technology. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Department of Arts and Sciences Education- Bachelor of Science in Information Technology | en_US |
dc.rights | UM Tagum College LIC | |
dc.subject | Computer software | en_US |
dc.subject | Image processing | en_US |
dc.title | CriminaDector: a wanted criminal identification system using facial recognition | en_US |
dc.type | Thesis | en_US |
dc.contributor.panel | Iris Mae C. Mendoza, MIT | |
dc.contributor.panel | John Jefferson L. Dela Cruz, MIT | |
dc.description.xtnt | vii, 60 pages | |