  Rapid urbanization and improved living standards have led to a substantial
increase in the number of vehicles on the road, consequently resulting in a
rise in the frequency of accidents. Among these accidents, motorbike accidents
pose a particularly high risk, often resulting in serious injuries or deaths. A
significant number of these fatalities occur due to delayed or inadequate
medical attention. To this end, we propose a novel automatic detection and
notification system specifically designed for motorbike accidents. The proposed
system comprises two key components: a detection system and a physiological
signal monitoring system. The detection system is integrated into the helmet
and consists of a microcontroller, accelerometer, GPS, GSM, and Wi-Fi modules.
The physio-monitoring system incorporates a sensor for monitoring pulse rate
and SpO$_{2}$ saturation. All collected data are presented on an LCD display
and wirelessly transmitted to the detection system through the microcontroller
of the physiological signal monitoring system. If the accelerometer readings
consistently deviate from the specified threshold decided through extensive
experimentation, the system identifies the event as an accident and transmits
the victim's information -- including the GPS location, pulse rate, and
SpO$_{2}$ saturation rate -- to the designated emergency contacts. Preliminary
results demonstrate the efficacy of the proposed system in accurately detecting
motorbike accidents and promptly alerting emergency contacts. We firmly believe
that the proposed system has the potential to significantly mitigate the risks
associated with motorbike accidents and save lives.
