| dc.description.abstract | The issue of driving while drowsy remains a
global concern in road safety, often leading to accidents due
to delayed driver responses. Additionally, the limited
awareness of emergency units exacerbates the consequences
of such accidents. To address these challenges, we have
developed an integrated system aimed at enhancing road
safety by mitigating the occurrence of accidents due to
drowsy driving and ensuring a swift emergency response
when accidents occur. The drowsiness detection system
utilizes an IR sensor embedded in a glass frame, focusing on
detecting prolonged eye closures, a key indicator of
drowsiness. Upon detection, the system triggers a buzzer and
vibrator to alert the driver. The accident alert system
integrates a GPS and accelerometer module to detect sudden
vehicle movements indicative of an accident, automatically
sending location-based alerts to specified emergency units
via GSM. The methodology involved rigorous testing under
various driving conditions to evaluate the system’s accuracy
and response time, resulting in a drowsiness detection
accuracy of 95.7% during daytime and 91.1% at night, with
an average end-to-end latency of 3.5 to 6.5 seconds for the
accident alert system. This study demonstrates that the
proposed system provides an effective solution for enhancing
driver safety, with the potential for large-scale
implementation. | en_US |
