IOT OPERATED WHEEL CHAIR / Smart Wheel chair

1. Submittedby:
LavanyaK
Madhavi SG
VasanthkumarBV
YogeeshM
Under the guidance of:
Dr. Yamuna devi C R
HOD, Dept.of TCE
Dr. a I t
Project Seminar
on
IOT operatedWheel chair
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2. OVERVIEW:
 Abstract
 Objectives
 Block diagram
 Flow Chart
 Implementation Details
 Advantages and Disadvantages
 Applications
 Future scope
 Conclusion and
 References
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3.  Implemented a home navigation system which comprises of a wheel
chair which work on input such as gesture commands/Hand Tilts.
 Can be use by an elderly or physically challenged persons to move
inside the home without any difficulty.
 Equipped with obstacles avoidance technique.
 It is a wheel chair which can be controlled by simple hand gesture.
 It is virtue of the system that even the foot can be substituted in place
of the hand for users who might find that more convenient.
ABSTRACT
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4. OBJECTIVES
 The most common image of disability is the people in wheelchairs. Wheelchairs are
who find themselves unequipped to move without external aid.
 The physically challenged people, who use a normal wheelchair for navigation,
usually require an external person to move around.
 Here comes the need of an automated home navigation system, which consists of a
wheelchair which can be used by the elderly and the physically challenged
people without the help of an external person.
 The proposed project can be operated using the gestures of the provided 3 Axis
Acceleration Sensor.
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5.  Wheelchair is being directionally controlled through the Hand tilt, activating a
programmed accelerometer type Hand switch.
 3 Axis Acceleration Sensor Board based on ADXL3XX from Analog devices is
used for gesture recognition.
 The aim of this project is to use wheelchair automatically for moving forward,
backward, Left & Right. The overall wheelchair operation uses DC motor and
motor driver module combines with Raspberry-pi system.
The aim of this project is to controlling a
wheel chair by using ACCELEROMETER
SENSOR which is a highly sensitive sensor
and capable of detecting the hand tilts.
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6. 6
BLOCK DIAGRAM
IR Sensor

7. 7
FLOW CHART

8.  3 Axis Acceleration Sensor Board based on ADXL3XX from Analog
devices is used for gesture recognition. It is a first generation 3 axis
acceleration sensor.
 User could get acceleration value of X, Y, and Z axis. And it is widely
used in shock, slope, and moving detection. Output sensitivity could be
select by simply set voltage level on few pins.
 The output of the sensor is analog mode. A prototype chair is
implemented with a small chair and 60rpm motors are used to move the
chair. A free-wheel is arranged to change the chair direction according to
user’s requirement.
 This project uses 12V rechargeable battery. Speed and directions of the
motors are measured by the accelerometer sensor.
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9. SOFTWARE USED
 Linux: Linux is by far the most commonly used operating system in the world.
BASIC COMMANDS
mkdir – make directories
Usage: mkdir [OPTION] DIRECTORY...
eg. mkdir prabhat
 ls – list directory contents
Usage: ls [OPTION]... [FILE]...
eg. ls, ls l,
ls prabhat
cd – changes directories
Usage: cd [DIRECTORY]
eg. cd prabhat
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10. cp – copy files and directories
Usage: cp [OPTION]... SOURCE DEST
eg. cp sample.txt sample_copy.txt
cp sample_copy.txt target_dir
mv – move (rename) files
Usage: mv [OPTION]... SOURCE DEST
eg. mv source.txt target_dir
mv old.txt new.txt
gedit A
text Editor. Used to create and edit files.
Usage: gedit [OPTION] [FILE]...
eg. gedit
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11. SOFTWARE USED
 Python
 Python is a powerful modern computer programming language.
 We are using Python here because it’s a Graphical Programming Language.
 It is very easy to make a program in Python.
Python was developed by Guido van Rossum.
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12. HARDWARE USED
This Wheelchair uses
 DC motors
 Raspberry PI 3
 3-Axacceleration Sensor
 H-Bridge
 Camera
 GSM & GPS
 IR Sensor
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13.  Raspberry PI
256MB SDRAM
HDMI
700 MHZ Clock Rate
8 pipeline stages
4 USB 2.0 Ports
Ethernet port is available
CSI – Camera Serial Interface
 H-bridge
It has 4 switching elements at the corners of the H and motors cross the cross bar.
An H bridge is an electronic circuit that enables a voltage to be applied across a load in either
direction.
 3-Axis acceleration Sensor
An accelerometer is an apparatus, either mechanical or electromechanical, for measuring
acceleration or deceleration. that is, the rate of increase or decrease in the velocity of a
moving object.
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14.  DC Motor
In this project we use simple DC motor for the rotation of the
wheel which are responsible for the movement of the wheel
chair.
 GSM and GPS
GSM  Global System for Mobile Communications
GSM is a digital mobile telephony system, It operates at
either the 900 MHz or 1800 MHz frequency band.
GPS  Global Positioning System
GPS is a space-based navigation system that provides
location and time information in all weather conditions
GSM Module
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15. IR SENSOR
 5V powered, low current consumption, less than 10mA
 Small LED as indicator for detection status.
 Obstacle detection up to 8 cm
 Compatible with all types of microcontrollers and Arduino
CAMERA
Care takers can watch real time video using Internet
browser and given IP address
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16. APPLICATIONS:
 In hospitals for handicapped patients.
 It can be used by an elderly or physically
challenged person to move inside the home
without any difficulty.
 In Bus Stops ,Railway Stations ,Airports etc.
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17.  Less expensive than the congenital automatic wheel chairs
 Obstacle detection using IR sensors.
 Capable of controlling the wheelchair motion for disabled
people using hand gesture and.
 foot can be substituted in place of the hand for users who
might find that more convenient.
 Live video streaming.
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ADVANTAGES

18.  Battery to drive the motor have to periodically recharge
and maintained.
 Requires high speed Internet connection for video
streaming.
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DISADVANTAGES

19. FUTURE SCOPE
Improvements can be made using
various body gestures like eye
gaze.
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20. CONCLUSION
 It is capable of controlling wheelchair motion for the
disabled using hand gesture.
 People with disability can move without any difficulty.
 The system was successfully implemented to move the
wheelchair left, right, forward, backward or stay in the
same position.
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21. REFERENCE
1. “Assisted navigation for a powered wheelchair. Systems Engineering in the Service
of Humans”by Dr. Umadevi L, Anand Bansal,Deeksha, Harshdeep Singh, Janender
Bansal “International Journal of Electronics & Computer Science Engineering”
Volume 3, Page 418.
2. “Touch Screen Based Wheelchair System” by Dr. Sunitha R Shetty G.Posugade,
Komal K.Shedge,Chaitali S.Tikhe“International Journal Of Engineering Research and
Applications ” Volume 2 , Page 721,
1. “Detecting obstacles and drop-offs using stereo and motion cues for safe local
motion”. A. Nisha Narayan, M. Sridharan and B.Kuipers. 2008. IEEE/RSJ Dept. of ECE
ILTech,London Page 309 International Conference on Intelligent Robots and Systems
(IROS-08)
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