Driver Vigilence System

8/13/2019 Driver Vigilence System

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OUTLINES

Requirement of driver vigilance system

Review of previous study

General system architecture

Experimental resultConclusion


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REQUIREMENT In europe,statistics show that 10% to 20% accidents are

caused due to driver with less vigilence level.

It is caused by fatigue,distraction.

It involves single vehicle and sober driver travelling alone.

As assistant system for comforts,navigation increase insidecar,distraction from more basic task-driving is observed.


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PREVIOUS STUDY MIT SMART CAR

ASV(ADVANCE SAFETY VEHICLE)BY TOYOTA TCD(TECH CO DRIVER)SPANISH SYSTEM

ALL ABOVE MENTION SYSTEMS ARE INTRUTIVE-AS

THE DRIVER CAUSING ANNOYANCE.

DAIMLER CHARYSLER SYSTEM BASED ON VEHICLE

SPEED,STEARING ANGLE,VEHICLE POSITION

RELATIVE TO ROAD DIMENSION.


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MEASURE OF REDUCED ALERTNESS Longer blink duration

Slow eyelid movement Smaller degree of eye opening

Frequent nodding

Yawning

Gaze(narrowness in line of signal)

Sluggish facial expression

Computer vision can be natural and non intrutive forextracting visual characteristics.


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WHAT SHOULD WE LEARN FROM

PRIVIOUS STUDY? There must be multiple clue to indicate drivers alertness.

System should be non intruitive System should work satisfactorily at night also.(at low light

condition)

se n rare e r ng Focus more on pupil detection and tracking.


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SYSTEM ARCHITECTURE MAJOR MODULES:

Image acqusition

Pupil detection

Visual behaviour Driver inattentiveness indicator software


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IMAGE ACQUISITION IR leds are used to brighten the users face

IT produce bright pupil effect LEDS are mounted around camera axis.

Ring size is choosen such that inner ring produce bright pupil

e ect w e outer r ng pro uce ar pup e ect. Get difference bet. two image and get pupil.


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PUPIL DETECTION AND TRACKING Difference dark pupil and bright pupil image

So bright blob in image can be detected by an adaptivethreshold.

Tracking of pupil is done by two kalman filters.

a man ter a w en su en ea movement. It can be overcame by adaptive window.


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PUPIL DETECTION AND TRACKING


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VISUAL BEHAVIOUR EYELID MOVEMENT

EYE CLOSURE DURATION

BLINK FREQUENCY

FIXED GAZE

EYE CLOSER/OPENING SPEED

PERCLOS(PERCENTAGE CLOSERE) FACE POSE

DEGREE OF EYE OPENING IS CHARACTERIZED BY PUPILSHAPE

AS EYES CLOSE,THE PUPILS START GETTING OCCLUDEDBY EYELID THIRE SHAPE GET MORE ELLIPTICAL.


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DRIVER VEGILENCE COMPUTATION WE CAN USE SOFTWARE WE DECIDE DIL(DRIVER

INATTENTIVENESS LEVEL) BY CONSIDERING ALL ABOVE

MENTION POINTS

SUCH THET

IF PERCLOS IS SMALL AND EYE CLOSURE DURATION IS

SMALL AND FACE POSITION IS MEDIUM AND NODDINGFREQUENCY IS SMALL AND BLINK FREQUENCY IS MEDIUM

AND FIXED GAZE IS SMALL, THEN DIL IS SMALL.

IF PERCLOS IS MEDIUM LARGE AND EYE CLOSURE

DURATION IS MEDIUM AND BLINK FREQUENCY ISMEDIUM AND FIXED GAZE IS LARGE, THEN DIL IS LARGE.


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FINAL SYSTEM BLOCK DIAGRAM


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CONCLUSION WE DEVELOPED NONINTRUITIVE SYSTEM FOR

DRIVER VIGILENCE.

WE FOCUS ON SIX PARAMETERS PERCLOS,EYECLOSURE DURATION, BLINK FREQUENCY, NODDING

FRE UENCY, FACE POSITION, AND FIXED GAZE.

SYSTEM WORKS SATISFACTORILY AT MIDNIGHT ANDDURING LESS LIGHT.

IT PERFORMANCE IS DECREASE DURING DAY TIME AND

PERSON WITH SUNGLASSES.


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AssignmentAssignmentAssignmentAssignment [Weightage 10%][Weightage 10%][Weightage 10%][Weightage 10%]Task 1: last date for Task-1 submission: on or before 05-10-2013 [batch wise]

Design a driver vigilance system.

Write the specification of the system.

Develop a system level model in C language as it is a universal language.

Task 2: [will be announced later] Estimate the performance of the code on PowerPC.(Do profiling)

Estimate which part of the design should be migrated to HW on the

FPGA.

Interface the migrated design to bus. Write the driver/software.

Document the result.

Input : set of images of the driver

Documents

Driver Vigilence System