Description

ABSTRACT

A new approach towards automobile safety and security with autonomous region based automatic car system is proposed in this concept. We propose three distinct but closely related concepts viz. a Drowsy Driver Detection system and a traffic detection system with external vehicle intrusion avoidance based concept. In recent time’s automobile fatigue related crashes have really magnified. In order to minimize these issues, we have incorporated driver alert system by monitoring both the driver’s eyes as well as sensing as well as the driver situation based local environment recognition based AI system is proposed

INTRODUCTION

In this system we are going to detect sleep of the driver and alert driver using alarm. Using camera, face is detected with the help of face detection. The main objective is the eye ball is monitoring for the fatigue detection. The control unit control the every part in this system, if fatigue is detected the system will give the alarm using the buzzer.

EXISTING SYSTEM

IR sensor placing on eye for fatigue detection the problem with the system it is having user aiding in complex with placing sensor over the eye directly

PROPOSED SYSTEM

• Driver Assistance system with camera
• Vehicle external vehicle availability detection
• Human detection based attention

BLOCK DIAGRAM

SYSTEM PROPOSED

            

                 

SYSTEM ARCHITECTURE

                           

ADVANTAGES

• Driver Assistance system with cameras focusing user hash free user assistance provided
• M2M communication systems

SOFTWARE 

• Python
• Open-CV

RESULT

This system mainly used to detect the sleep and alert the driver, So that we can reduce the maximum road accidents. The system will alert the driver using the buzzer when the driver eye is closed for a particular period of time.

REFERENCES

[I] S. G. Klauer. T. A. Dingus. V. L. Neale, , and 1. D. Sudweeks, “The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data,” National Highway Traffic Safety Administration, DC, DOT HS, vol. SIO, 2006.

[2] J. Connor, R. Norton, S. Ameratunga, E. Robinson, T. Civil, R. Dunn, J. Bailey, and R. Jackson, “Driver sleepiness and risk of serious injury to car occupants: Population based control study. ” British Medical Journal, vol. 324.pp 11485-1148. 2002.

[3] V.Saini et ai, (JJCSlT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) ,2014,4245-4249.

[4] L. M. Bergasa, J. Nuevo, M. A Sotelo, R. Barea, and M. E. L. Guill’ en,”Real-time system for monitoring driver vigilance,” IEEE

Transactions on Intelligent Transportation Systems, vol. 7, no. I, pp. 63-77, 2006.

[5] M. Neji, AWali, A.M. Alimi. Towards an Intelligent Information Research SystemBased on the Human Behavior : Recognition of

User Emotional State. 12th IEEE/ ACIS International Conference on Computer and Information Sci-ence(20 13).Japan.