Driver’s Iris Tracker
dc.contributor.advisor | Mohammad Ashrafuzzaman Khan | |
dc.contributor.author | Md. Asaduzzaman Sakib | |
dc.contributor.author | Shawon Howlader | |
dc.contributor.author | Mitu Rani Das | |
dc.contributor.id | 1521705642 | |
dc.contributor.id | 1520851642 | |
dc.contributor.id | 1512383642 | |
dc.coverage.department | Electrical and Computer Engineering | |
dc.date.accessioned | 2025-08-06 | |
dc.date.accessioned | 2025-08-06T04:42:29Z | |
dc.date.available | 2025-08-06T04:42:29Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Distraction drowsiness, and fatigue are the main factors of car, bus accidents recently. To solve such problems, an Eye-tracking system based on camera is proposed in this paper. The system detects the driver’s Distraction or sleepiness and gives an alert to the driver as an assistance system. The system is added in real-vehicle and tested in an outdoor environment. Whenever the system detects the distraction or sleepiness of the driver, the driver will be alerted through a displayed message on a screen and an audible sound for more attention. | |
dc.description.degree | Undergraduate | |
dc.identifier.cd | 600000622 | |
dc.identifier.print-thesis | To be assigned | |
dc.identifier.uri | https://repository.northsouth.edu/handle/123456789/1348 | |
dc.language.iso | en | |
dc.publisher | North South University | |
dc.rights | © NSU Library | |
dc.title | Driver’s Iris Tracker | |
dc.type | Thesis | |
oaire.citation.endPage | 27 |
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