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dc.contributor.author | Bashir, Rao Atif Reg # 57204 | |
dc.contributor.author | Kehar, Muhammad Ali Reg # 57198 | |
dc.contributor.author | Zahra, Haneen Reg # 57127 | |
dc.date.accessioned | 2024-03-14T04:48:22Z | |
dc.date.available | 2024-03-14T04:48:22Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17094 | |
dc.description | Supervised by Fatima Bashir | en_US |
dc.description.abstract | This document is a review report on the research conducted and the project made in the field of computer engineering to develop a system for driver drowsiness detection to prevent accidents from happening because of driver fatigue and sleeping. The report proposed the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project gives the real-world idea of how the system works and what changes can be done in order to improve the utility of the overall system. Furthermore, the paper states the overall of the observation made by the authors in order to help further optimization in the . mentioned field to achieve the utility at a better efficiency for a safer road. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BSCS;MFN BSCS 403 | |
dc.title | DROWSINESS DETECTION USING MACHINE LEARNING | en_US |
dc.type | Project Reports | en_US |