| dc.contributor.author | Wamala, Rodrick Calvin | |
| dc.date.accessioned | 2021-02-12T12:53:42Z | |
| dc.date.available | 2021-02-12T12:53:42Z | |
| dc.date.issued | 2020-12-22 | |
| dc.identifier.citation | Wamala, R. C. (2020). An Equipment Scheduling System using AI-Based Authentication. Unpublished undergraduate dissertation. Makerere University: Kampala, Uganda. | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12281/8799 | |
| dc.description | A Report submitted in partial fulfillment of the requirements for the Degree of Bachelor of Science in Computer Engineering
at Makerere University. | en_US |
| dc.description.abstract | In this project, it was proposed to carry out research that involves the development of a centralized Equipment Scheduling System Using AI-Based Authentication for researchers and research
institutions in Uganda, based on the microservices system architecture. The system development involved the usage of the agile method of software development to achieve continuous
delivery and integration. Simultaneously, a face recognition model was trained using a combination of data collection, localization, transfer learning and classification of processed data.
The model was then integrated into the system as a service.
The system allows users to login with a face recognition option, and browse through the catalogue of available resources, enabling them to request access to use special equipment or a
resource that is owned by other institutions after which the system schedules the request. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Equipment Scheduling System | en_US |
| dc.subject | AI-Based Authentication | en_US |
| dc.title | An Equipment Scheduling System using AI-Based Authentication | en_US |
| dc.type | Thesis | en_US |
