The Vehicle Speed Control & Alert System based on the Drowsiness of the Driver
Safety is the first priority while travelling or driving. One mistake of the driver can lead to severe physical injuries, deaths and significant economic losses. According to the National Highway Traffic Safety Association more than 4,000 people died due to drowsy driving from 2013 to 2017 and this number is increasing yearly. So it is necessary to come up with an efficient technique to detect drowsiness as soon as the driver feels sleepy, thereby it could prevent a large number of accidents. In this paper the authors propose a visual based hybrid model for drowsiness detection and based on the threshold value of drowsiness, an alert is generated to make driver alert and further controls the speed of the vehicle if the driver is detected as drowsy.