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.
