An Approach for Detecting Drowsy Drivers in Vehicle using CNN Techniques

On average, 1200 accidents happen on Indian roadways every day, resulting in 400 fatalities and numerous injuries. Accidents brought by sleepiness can be the result of fatigue or intoxication. Long periods driving drinking make drivers drowsy, which is their main source distraction. There's a chance that this diversion will lead to. The driver, additional passengers, pedestrians were also murdered addition to those other vehicles. along highway A driver's negligence road could own demise, deaths others, challenging scenario for people's families. To avoid such accidents, I proposed system alerts driver if she he begins feel sleepy. We put approach into practice employing machine learning model based computer vision. face fed classification algorithm has been trained images non-drowsy drowsy faces. This uses landmark detection determine whether sleepy awake. generates an alarm alert allow take necessary actions. So, order these we create using Python, OpenCV, Keras feels unsafe. Drowsiness safety technology help prevent caused drowsiness.by who nodded off while driving.