Eye control system based Eye control wheel chair which is based on Raspberry Pie image processing concept

1. Internal guide
• Prof. Saurabh chaudhary
 Prepared by
 Sharma Mahadev
 Momin Arsadhusain
 Makdiya Chintan
K. J. INSTITUTE OF ENGINEERING & TECHNOLOGY, SAVLI
ELECTRONICS & COMMUNICATION
DEPARTMENT
8th SEM
GROUP NO.:- 09
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2. Outline
 Objective
 Literature survey
 Block diagram
 Components
 Auto-breaking
 Decision making algorithm
 Conclusion & Future scope
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3.  “EYE CONTROL SYSTEM” helpful for paralyzed person
 It’s Works based on position of cornea in human eyes
 Combination of image processing and embedded system
 Image Processing
 for finding the position of cornea
 Embedded system
 Provide direction according to the position of cornea
 Movement of wheelchair
 Obstacle avoidance
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Objective

4.  Drawback:
 Bulky
 Uncondensed
 High power consumption
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Literature survey

5. CAMERA
RASPBERRY-PI
ARM
DSP
TRANSMITTER
CIRCUIT
RECEIVER
CIRCUIT
ULTRASONIC
CIRCUIT
MOTOR
DRIVER IC
MOTOR
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Block Diagram
 Transmitter:
 Receiver:

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8. 1.TRANSMITTER SIDE
1. 1.Raspberry pi camera[3]
 The Raspberry Pi Camera Module is a custom designed
add-on for Raspberry Pi
 Focal length = 3.6 mm
 S/N ratio= 36 dB
 5 megapixel (2500*1944)
 C-MOS sensor
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Component

9. 1.2.Raspberry pi controlled module means it will grab input from camera and
decide the control action appropriately and automatically[2].
 PAN Card size CPU
 Linux base OS
 Contains HDMI output
 4 USB port
 Ethernet and audio jack
 40 pin GPIO
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10. 1.3 RF transmitter
 Works on 434Mhz
 Data transmitting serially
 Range up to 500 ft
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11. 2.Receiver Side
2.1 RF receiver
 Low power
 Works easily
 Interface easily
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12.  Ultrasonic ranging module provides 2cm - 400cm
 Non-contact measurement function, the ranging accuracy can
reach to 3mm
 The modules includes
ultrasonic transmitters,
receiver and control circuit
 Low cost
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2.2 Range finder

13. 2.3 Motor Driver IC[4]
 Current amplifier
 Voltage range from 5-36v
 Can control two motors
simultaneously
[5]
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14. start
Fetch the image
Operation with testing
Operation algorithm
If close
1s
Ultrasonic
If distance<10cm
Operation algorithm
If motor start
Start
Yes
No
No
Image detection & break
algorithm
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Stop
Yes
stop
No
Yes

15. Image detection
DICISION
Right Left
START
Operation algorithm
Forward
Moter
1
Moter
2
Moter
1
Moter
2
Moter
1
Moter
2
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If break
Yes
No

16. Conclusion
 Then according to position of cornea we control the movement
of wheelchair in front, left & right side with 434 MHz Tx-Rx
 We also provide obstacle protection by using ultrasonic sensor
Future scope
 It will develop new era of super smart technology
 With multi-interfacing it has many uses in future
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17. Books:-
[a]DIGITAL IMAGE PROCESSING USING MATLAB
Authors:-Rafael C. Gonzalez, Richard E. woods
[b]DIGITAL IMAGE PROCESSING
Author:-Shamik Tiwari
[c]FUNDAMENTAL OF IMAGE PROCESSING
Authors:-Dr. D. J . Shah, Sachin Sharma
Web site:-
[1]http://en.m.wikipidia.org/wiki/Blink
[2] http://www.element14.com/community/community/raspberry-pi
[3]http://www.element14.com/community/community/raspberry-pi/raspberry-pi-
accessories/raspberry-pi-camera-board?ICID=rpiaccsy-access-products
[4]http://www.engineersgarage.com/electronic-components/l293d-motor-driver-ic
[5] http://www.robotplatform.com/howto/L293/img_l/L293D_connections.jpg
Reference
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