The Automated Security System (MuseSafe) to safeguard the valuable artifacts housed within the museum, monitor and safeguard museums
The Automated Security System (MuseSafe) to safeguard the valuable artifacts housed within the museum, monitor and safeguard museums
| dc.contributor.author | Ankunda, Andante Rutainama | |
| dc.contributor.author | Ayesiga, Nobert | |
| dc.contributor.author | Takuwa, Suzan | |
| dc.contributor.author | Nahurira, Clintonie | |
| dc.date.accessioned | 2024-11-08T09:09:28Z | |
| dc.date.available | 2024-11-08T09:09:28Z | |
| dc.date.issued | 2024 | |
| dc.description | A Project report submitted to the School of Computing and Informatics Technology for the study leading to a project in partial fulfillment of the requirement for the award of a Bachelor's Degree of Science in Software Engineering of Makerere University. | en_US |
| dc.description.abstract | This project report details the development and implementation of an automated security system designed specifically for museums, aimed at enhancing the protection of valuable artifacts and exhibits. The motivation for this project stems from the increasing need for advanced security measures in cultural institutions, which house irreplaceable items of historical significance. The system utilizes a combination of state-of-the-art technologies, including infrared sensors, motion detectors, and an integrated surveillance system that employs artificial intelligence for real-time threat detection and analysis. The design process involved a thorough analysis of the museum's layout and specific security needs to ensure comprehensive coverage and functionality. Implementation was carried out in phases, beginning with the installation of hardware components, followed by software development and system integration. The system was tested extensively in a controlled environment to refine its detection algorithms and user interface. In conclusion, the automated security system represents a significant advancement in the protection of cultural assets. It offers museums a scalable, efficient, and cost-effective solution that can be adapted to different environments and needs. Future work will focus on enhancing the system’s machine learning algorithms and expanding its capabilities to include facial recognition and anomaly detection for even greater security. | en_US |
| dc.identifier.citation | Ankunda, A. R. (2024). The Automated Security System (MuseSafe) to safeguard the valuable artifacts housed within the museum, monitor and safeguard museums (Unpublished undergraduate dissertation). Makerere University, Kampala, Uganda. | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12281/19144 | |
| dc.language.iso | en | en_US |
| dc.publisher | Makerere University | en_US |
| dc.subject | MuseSafe | en_US |
| dc.subject | Authentication Subsystem | en_US |
| dc.subject | Access Control Subsystem | en_US |
| dc.subject | Artifact Tracking Subsystem | en_US |
| dc.subject | Intrusion Detection Subsystem | en_US |
| dc.subject | Emergency Response Subsystem | en_US |
| dc.title | The Automated Security System (MuseSafe) to safeguard the valuable artifacts housed within the museum, monitor and safeguard museums | en_US |
| dc.type | Thesis | en_US |