Bus Driver Fatigue Monitoring And Accident Alert System Based On Analysis Of Eye State
Keywords:
GSM,GPS, EYE BLINK SENSORAbstract
Now a day's traffic is a main problem on roads and causes many accidents. Driver’s fatigue 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 used mems, eye blink sensors Ardunio, relays as hard ware components and wireless data transfer technologies. In this project we have used Ardunio microcontroller. Microcontroller detects the sensor signal. Depending on the sensor values microcontroller turns on the buzzer if any accidents occurred then it sends the longitude, latitude positions of the location through GSM. The experimental output shows the advantages of the system on accuracy and robustness for the situations used for driving state monitoring.
References
- W. Dement and M. Carskadon, "Current perspectives on daytime sleepiness: The issues," Sleep, vol. 5, no. S2, pp. S56–S66, 1982.
- L. Hartley, T. Horberry, N. Mabbott, and G. Krueger, "Review of fatigue detection and prediction technologies," Nat. Road Transp. Commiss., Melbourne, Vic., Australia, Tech. Rep., 2000.
- A. Sahayadhas, K. Sundaraj, and M. Murugappan, "Detecting driver drowsiness based on sensors: A review," Sensors, vol. 12, pp. 16 937–16 953, 2012.
- S. Kee, S. Tamrin, and Y. Goh, "Driving fatigue and performance among occupational drivers in simulated prolonged driving," Global J. Health Sci., vol. 2, no. 1, pp. 167–177, 2010.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRST

This work is licensed under a Creative Commons Attribution 4.0 International License.