The Advanced Driver Assistance System (ADAS) has emerged as a critical technology
for enhancing road safety and preventing accidents. This research paper aims to provide a
comprehensive study on the development and implementation of an ADAS through the utilization
of a traffic sign detection Android app. One of the key functionalities of the ADAS is real-time
updates on the current speed of the vehicle. By constantly monitoring the speed, the system can
provide timely warnings to the driver in case they exceed the speed limit, thereby reducing the
likelihood of ac-accidents caused by speeding. ADAS integrates driver drowsiness detection using
smart spectacles equipped with eye activity sensors. These spectacles can monitor the driver's eye
movements and identify signs of drowsiness or distraction. In such cases, the system can issue
alerts or recommendations to the driver, encouraging them to take a break or refocus their
attention on the road. By integrating these functionalities, the ADAS aims to enhance road safety,
assist drivers with timely information and warnings, and ultimately reduce the risk of accidents
on the roads