The need for vehicular supervision system is of the utmost need due to the sheer number of vehicles plying every day on our roads. With the rise in numbers of vehicles, there is also an increase in the need to prevent potentially fatal on-road incidents. Drowsiness and fatigue are large contributors to most on-road accidents. Prevention of such accidents can be achieved using a drowsiness detection system and drivers emotion recognition. Such a system employs recognition of facial expressions to identify emotions using a camera. The feed from the camera is processed to obtain instances of drowsiness or stress. Accordingly, tasks can be triggered such as slowing down or stopping the vehicle.