Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9529
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVaghasiya, Nikita-
dc.date.accessioned2021-01-04T08:55:04Z-
dc.date.available2021-01-04T08:55:04Z-
dc.date.issued2020-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9529-
dc.description.abstract360 Degree car dash-cams are used to continuous recording of the external view and internal view (front and back respectively) that provide pieces of evidence in case of unexpected traffic-related accidents and incidents happen. Most car accidents happen at sides of the car and Drowsiness of the driver. Using AI-based 360 degree dash-cam utilize facial recognition to know the driver feels drowsy or tried. This report presents driver drowsiness detection using face recognition which helps to prevent the accident. To determine the driver's drowsiness using the behavior measures method which includes the eye open or close, eye blinking and mouth open or closed, etc... are monitor by the camera and give an alert message if any of these drowsiness symptoms are detect.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries18MCEC17;-
dc.subjectComputer 2018en_US
dc.subjectProject Report 2018en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject18MCEen_US
dc.subject18MCECen_US
dc.subject18MCEC17en_US
dc.titleArtificial Intelligence base 360 Dash-Cameraen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

Files in This Item:
File Description SizeFormat 
18MCEC17.pdf18MCEC175.6 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.