Smart Detection and Prevention system for Drowsy Driving

Abstract

Nowadays drowsy driving is the serious issue for traffic collision and accidents. Recently a huge number of accidents occurs because of drowsy driving and it leads to loss of lives and properties. To overcome this problem, many analyses were made in discovering systems which scrutinize driver’s weariness and alert him in advance which forestalls any kind of accidents. Most of the traditional methods used vehicle based measurements, although, these measurements are mostly dependent on the road structure, vehicle types and driving skill. Other measurements include the physiological methods that provide finer efficiency in detecting the drowsiness of the driver but these methods are exceedingly annoying and thus disturb the driver. Here, the proposed system is non-invasive and it uses
eye closure ratio as an input. When this ratio varies from standard value, the driver is alerted using buzzer and water sprayer. The main advantage of this system is automatically controlling the speed of the vehicle through automatic speed control method and then stops the vehicle through Raspberry-Pi. The Global System for Mobile communication (GSM) is used to send alert message to the responsible person through SMS and Global Positioning System (GPS) to send the location of the person.