Published Paper Details:

This model proposes a region-based automated vehicle system. We have developed a novel approach to automotive safety and security utilizing open CV software, which incorporates IOT and autonomous drowsiness detection. Drunk driving-related accidents have become a regular problem; therefore, a driver situation-based local environment recognition-based artificial intelligence system has been developed to address this issue. Because safety is of utmost importance when traveling, one must always be on guard.One of the main reason of accidents to occur is drowsiness or fatigue of the driver due to which both the driver and passengers are impacted and are prone is not responsible for providing any feedback to the system i.e., the buzzer alert to accidents, so here is a device which detects the drowsiness of the driver by detecting his eyes movement and warnings will be generate . Camera is fixed in a place where it can capture photos clearly. The real time images of eye are taken and matched, if the driver is not in the state of driving due to drowsiness at the first stage buzzer will be generate at next stage music will be generate which will be very irritating and helps the driver to wake up and if the driver will not able to react for these two stages next stage will be automatic break will be done slowly.