SYSTEM TO PREVENT VEHICLE ACCIDENTS BY DETECTING ALCOHOL PRESENCE

Abstract

Drunk driving remains a global problem, resulting in numerous accidents and fatalities despite strict regulations and fines. Current measures to discourage this behavior are insufficient, necessitating an innovative solution that detects and reduces instances of impaired driving. This thesis proposes the development of an advanced in-car system capable of detecting impairment caused by alcohol in real time, thereby addressing the critical public safety issue of drunk driving. The key capability of this system is effective real-time alcohol impairment detection via contemporary sensor technology, which continuously monitors driving behavior and blood alcohol levels. When the system detects impairment, it automatically activates safety routines, including gradual vehicle slowing, to avoid accidents. Furthermore, the device uses GPS technology for exact location tracking, allowing local authorities to receive reliable information about the impaired driver's locations. This comprehensive approach improves road safety by providing timely interventions and advocating proactive actions to combat drunk driving. The development and execution of this advanced engineering solution are intended to overcome critical gaps in current drunk driving prevention efforts. The suggested method improves the efficiency of existing safeguards while also aligning with public expectations for a safer road environment, reducing the societal burden of driving under the influence of alcohol.