DROWSINESS DETECTION USING MACHINE LEARNING

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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


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