8th april presentation
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05/02/2023 1
EYE CONTROL SYSTEM
Internal guide• Prof. Saurabh chaudhary
YEAR:-2015
Prepared by Sharma Mahadev Momin Arsadhusain Makdiya Chintan
K. J. INSTITUTE OF ENGINEERING & TECHNOLOGY, SAVLIELECTRONICS & COMMUNICATION
DEPARTMENT8th SEM
GROUP NO.:- 09
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Outline
Objective
Literature survey
Block diagram
Components
Auto-breaking
Decision making algorithm
Conclusion & Future scope
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“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
Objective
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Drawback:
Bulky
Uncondensed
High power consumption
Literature survey
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CAMERA
RASPBERRY-PI
ARM
DSPTRANSMITTER
CIRCUIT
RECEIVER CIRCUIT
ULTRASONICCIRCUIT
MOTOR DRIVER IC MOTOR
Block Diagram Transmitter:
Receiver:
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Transmitter circuit
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Receiver circuit
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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
Component
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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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1.3 RF transmitter
Works on 434Mhz
Data transmitting serially
Range up to 500 ft
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2.Receiver Side
2.1 RF receiver Low power
Works easily
Interface easily
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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
2.2 Range finder
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2.3 Motor Driver IC[4]
Current amplifier
Voltage range from 5-36v
Can control two motors simultaneously
[5]
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start
Fetch the image Operation with testingOperation algorithm
If close 1s
Ultrasonic
If distance<10cm
Operation algorithm
If motor start
Start
Yes
No
No
Image detection & break algorithm
Stop
Yes
stop
No
Yes
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Image detection
DICISION
Right Left
START
Operation algorithm
Forward
Moter1
Moter 2
Moter 1
Moter 2
Moter 1
Moter 2
If break Yes
No
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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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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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THANK YOU