Over view on EYE DIRECTIVE WHEEL CHAIR.

1. EYE DIRECTIVE WHEEL
CHAIR

2. INTRODUCTION
 Many people are suffering from
quadriplegia around the world,
which affects their four limbs.
 The eye monitored wheel chair
will help their movement which
makes their life easy.
 We take the advantage of their
ability to move their head.
 The laptop webcam will
capture their head movements
by that the wheel chair can be
moved to desired direction.

3. How to design?
 Eye detection can be done by MATLAB script
which is running on the laptop which has inbuilt
webcam.
 MATLAB puts one digit like 0,1,2 on COM port
based on the eye movements.
 ATMega32A is used to drive motors as per user
desire direction like left, right, straight based on
signals send by MATLAB.

4. Schematic view

5. Software designing
 (A) MATLAB COMPONENT:-
 Initialization of COM port for
serial communication.
 Capturing of image for every
25th frame.
 Changing image from RGB
to gray level and enhancing
the image.
 Detection of the person’s eye
in image using viola-jone’s
algorithm.
 Detection of the eye
movement by comparing the
present position of eye with
previous position.
 Placing one digit data on the
COM port based on the eye
movements.
 (B) FIRMWARE DESIGN:-
 Code developed in AVR
studio.
 Hex file generated using AVR
studio.
 Hex file dumped into
Microcontroller using extreme
burner software.

6. HARDWARE DESCRIPTION
 (A)DESCRIPTION OF MICRO
CONTROLLER ATMEGA 32A.
 ATMega32A is a 8-bit microcontroller
having 40 pins.
 ATMega32A has a 32 Programmable I/O
Lines.
 ATMega32A has a programmable USART.
 ATMega32A can operate over 10,000
Flash/100,000 EEPROM Write/Erase
cycles.

7. MICRO CONTROLLER-
CP2102 INTERFACING

8. LOGIC LEVELS AND WHEEL
CHAIR DIRECTION

11. SAFETY FEATURES
 Controlled speed of detection and wheel
chair drive.
 Eye height and width threshold.
 Controlled movement in either direction
for limited time period.
 Less jerk, by incorporating delay in the
wheel chair drive.
 Halt control using blink detection.

12. CONCLUSION
 PERFORMANCE:-
 System functions at an accuracy of 70 – 90%.
 Person’s eye can easily detected by using viola-
jone’s algorithm without detecting of things mostly
have face like features.
 FUTURE MODIFICATIONS:-
 • Lot of work needs to be done before making the
product commercially viable.
 • Need to work on wheel chair movement when the
person is just casually glaring in different directions.
 • We can incorporate certain sequences for turning
ON and OFF electrical devices or door locks.
 • Lot of safety precautions need to be incorporated

13. By
shivani
Final year
E.C.E