A PROPOSAL ON DROWSINESS DETECION MECHANISM USING FACIAL FEATURES

GUIDANCE:

TEAM MEMBERS:

1. Name <reg No>

COLLEGE NAME

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERIGDEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERIG

AIM

To prevent accidents due to driver fatigue.

To provide an nonintrusive method preferable by the driver.

To combine the technologies of eye features extraction and use of bio-sensors.

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OBJECTIVE:

“ To design a driver drowsiness detection and controlling

schema of a automobile using image processing based eye

state detection method with bio sensor interface”

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EXISTING SYSTEM: Manual identification of Human

- In this Method the other human sitting next to driver determine the drowsiness of the driver and make him awake.

- This Method is inefficient & dangerous.

Eye blink sensors method (Contact based method)

- This Method uses a eye blink sensor where the driver will wear while driving.

- The drive need to wear every time, which might leads to irritation

Flux belt sensors method (Contact based method)

- This method uses flux sensor integrated o n seat belt of the driver.

- Its costly , detection is not accurate

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PROPOSED SYSTEM:

“A contact less camera based drowsiness monitoring system which monitors the eye state of the driver automatically, With improved efficiency increases by interfacing biomedical sensor”

ADVANTAGE OF PROPOSED SYSTEM:

No need driver to wear any sensor , since the system is a contact less.

Detection efficiency is high, since drowsiness detected directly through eyes.

Low cost

Easy assembled in any automobile , no need any modification

SYSTEM BLOCK DIAGRAM

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TOOLS

MATLAB 7 – Image processing Tool kit

Camera

Bio sensor – Heart beat sensor

Microcontroller with serial communication

MODULES INVOLVED

Biomedical sensor module

Video-sensor module

MATLAB Image processing programming module

Information fusion module

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REFERENCES

Boon-Giin Lee and Wan-Young Chung:Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals ,July 2012,IEEE Sensors Journal,Vol.12,No.7.

Maneesha V. Ramesh,Aswathy K. Nair,Abishek Thekkeyil Kunnathu: Intelligent Steering Wheel Sensor Network for Real-Time Monitoring and Detection of Driver Drowsiness,IJCSS,Volume(1),Issue(3),2011.

Garc´ıa.I, Bronte.S, Bergasa.L.M,N. Hernandez, Delgado.B, Sevillano.M:Vision-based drowsiness detector for a Realistic Driving Simulator,September 2010,IEEE Journal. 7

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