Publication

Abstract : According to survey taken by the US national Highway Traffic Safety Administration, every year about one hundred thousand road accidents is caused by the driver fatigue. In addition to these accidents, there were 810400 vehicles are stolen all over the world alone in 2020. These accidents and thefts lead to substantive financial strain on the individuals and governments every year. This motivates the researchers to consider developing solutions that can detect driver fatigue and prevent road accidents. Along with this, schemes are developed to reduce automobile thefts. Broadly the schemes are categorized in to intrusive and non-intrusive approaches. Intrusive approach includes measure of both the physical and mental abilities of the person using sensors. In non-intrusive approach, cameras or the sensors are placed on to the dashboard to capture the driver events every time such as eye blinking, head inclination, yawning patterns. Automobile manufacturing companies are bringing advanced patterns for designing the access key to allow authorized person’s entry along with the camera on the dashboard to recognize the face and allowing the driver to access the engine button for starting so that vehicular thefts can be prevented or reduced. The paper proposes a driver authentication in which posture of the driver is detected which will be stored. Once this initial setup is completed, system will capture the posture of every user who tries to use the vehicle and compares against stored posture. Only matching user will be able to start the engine. To enhance the security, face recognition of the driver is also incorporated into the system.