Dreyev

Dreyev mimics the behavior of a dependable passenger who can evaluate the risk (associated with the current speed, acceleration, braking, cornering, pavement, weather and traffic conditions), then match it against the level of attention exhibited by the driver. If the driver looks away from the road for too long or too often, or the car is zig-zagging in the lane, the virtual passenger warns the driver with specific signals or with spoken utterances.

Dreyev uses Computer Vision to analyze head pose and analyze eye gaze and eyelid closing to flag possible distraction and drowsy conditions. Machine Learning enables the creation of custom models of driving habits and experience to ensure that warnings are only given when necessary.