VSLDR (Vehicle Security and Drowsiness Recognition)

dc.contributor.authorZubair Ahmad
dc.contributor.authorFA17-BCS-106
dc.contributor.authorMomina Shaheen
dc.date.accessioned2026-02-24T07:46:22Z
dc.date.issued2021-11-20
dc.description.abstractA vehicle is generally the most costly and significant resource close to a home, so this framework empowers you to keep this advantage readily available by utilizing remote innovation. Consider it a remote rope to your vehicle. In today’s world vehicles form a significant asset to us, without which our life would be divided. Concerning the security of our vehicles, we are incredibly helpless. It is of an inconceivable concern, particularly in metropolitan urban areas, where these occurrences happen each day. So, we have zeroed in on the security of vehicles and drowsiness identification. As of late, the misfortunes of vehicle crashes achieved by driving vehicles have been consistently expanding. In particular, there are more serious wounds and passing than minor injuries, and the mischief as a result of huge disasters is growing. In particular, generous cargo trucks and quick vehicle accidents that occur during driving at the night have created authentic social issues. The arrangement comprises a blend of software and hardware. This entire framework will permit you to associate with your vehicle whenever, anyplace, and confirm its security.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/2161
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus.
dc.relation.ispartofseriesLHR TP 8257
dc.subjectVSLDR (Vehicle Security and Drowsiness Recognition)
dc.subjectComputer science
dc.subjectFA17
dc.titleVSLDR (Vehicle Security and Drowsiness Recognition)
dc.typeThesis

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