Drunken driving detection and prevention models using Internet of Things

The Internet of Things comprises of a number of uniquely identifiable devices capable of communicating over a network. An individual device in IoT can be used in a wide range of applications. In this paper a model based on IoT is proposed with the aim to safeguard drunk and drowsy drivers especially at night. It also discusses several models which have already been proposed and attempts to assimilate the best ideas which are proposed there. It includes analysis of alcohol concentration, eye-blinking rate and the rate at which the car is made to turn to detect a drunken or drowsy state and hence undertake protective measures. Such measures include speed reduction, triggering an alarm, informing the traffic control, activation of auto-pilot etc.