8th april presentation

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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