• P. Anilkumar
• S. Jameer
• P. Balaji
• Y. Jyoshna
• M. Nandhini

Now a day’s traffic is a main problem on roads and causes many accidents. Driver’s drowsiness is one of the major causes of traffic accidents, particularly for drivers of large vehicles. It causes heavy loss of civilians. In this paper, we propose a vision-based fatigue detection system for bus driver monitoring, which is easy and flexible for deployment in buses and large vehicles. This project reduces those types of accidents. By using sensors and microcontroller we can detect driver fatigue state. In this project we are using raspberry pi, camera, relay and buzzer as hard ware components and open CV as software component. The experimental output shows the advantages of the system on accuracy and robustness for the situations used for driving state monitoring.

webcam, relay, Raspberry Pi, Buzzer, Rasbian OS, Python.

"Vehicle Driver drowsiness detection system using Raspberry pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.284-288, March-2019, Available :http://www.jetir.org/papers/JETIRAK06053.pdf

"Vehicle Driver drowsiness detection system using Raspberry pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp284-288, March-2019, Available at : http://www.jetir.org/papers/JETIRAK06053.pdf