SYSTEM TO PREVENT VEHICLE ACCIDENTS BY DETECTING ALCOHOL PRESENCE

Abstract

Drunk driving continues to be a global problem, resulting in innumerable accidents and fatalities despite tight restrictions and penalties. Current strategies for preventing this behavior are insufficient, needing an innovative approach to detecting and minimizing impaired driving. This thesis proposes the development of a sophisticated in-car system capable of detecting alcohol-induced impairment in real time, thereby addressing the critical public safety issue of drunk driving. The system's main feature is effective real-time alcohol impairment detection using sophisticated sensor technology that continuously monitors driving behavior and the driver's alcohol levels. When the system detects impairment, it automatically triggers safety procedures, such as gradual vehicle slowing, to prevent accidents. Furthermore, the device employs GPS technology to provide precise location tracking, allowing local authorities to obtain solid information about the impaired driver's whereabouts. This holistic approach enhances road safety by implementing timely interventions and lobbying for proactive measures to fight drunk driving. The creation and implementation of this advanced engineering solution are designed to solve major gaps in current drunk driving prevention initiatives. The proposed approach enhances the effectiveness of existing protections while also complying with public expectations for a safer road environment, hence lowering the social burden of driving under the influence of alcohol.