Driver fatigue detection based on the face features that are mouth and eye where the mouth is that amount of opening of the mouth and eye aspect ratio is the opening and closing of eye of the driver based on these two facial features that have been captured by the camera and the fatigue of the driver will be detected so that the alert will be given to the driver that avoids the road accidents and the injuries that have been caused as a result of this driver being fatigued.
Tiredness Detection for Drivers Using Machine Learning Techniques with the Internet of Things
2022-10-16
1328841 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Enhanced tiredness among young impaired male nighttime drivers
Online Contents | 1996
|Tiredness and visual reaction time among young male nighttime drivers: A roadside survey
Online Contents | 1994
|