• Vidiyala Bhargava
• Damarancha Raghuram
• Kasoju Lavanya
• A. Prashanthi

Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately.Drowsiness and Fatigue of drivers are amongst the significant causes of road accidents. Every year, they increase the amounts of deaths and fatalities injuries globally. Therefore, there is a need to develop the systems that will detect and notify a driver of his bad psycho-physical condition, which could significantly reduce the number of fatigue-related car accidents. Here we design a system that deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence which locate, track, and analyze both the drivers face and eyes .The system measures the drowsiness associated with extended eye closure and alerts the driver with a beep sound if he closes the eyes for a long time and also start recording the video and send it to the an emergency contact as email in order to notify about the situation .

Convolutional Neural Network, Face Recognition

"Driver Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b451-b454, June-2021, Available :http://www.jetir.org/papers/JETIR2106199.pdf

"Driver Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb451-b454, June-2021, Available at : http://www.jetir.org/papers/JETIR2106199.pdf