 Aim of the project is to enable Handicap People without fingers to control Television with the help of Sensors  By the movement of their hands, the target audience can switch channels and control volume as per pre-defined Sensory Movements  Used TL866A Programmer & Keil Micro Vision 5  Project was achieved with the addition of a jump bit to the delay loop checking the overflow of the flag  Completely owned Programming and Circuit Design from scratch  Resolved and Rectified programming issues  The Relay was made to function without ripples in the circuit by connecting a Capacitor across

1. Television control using
sensors.
Submitted by:
Jayasuthan R.
Electronic Engineering Graduate
Project guide:
St.joseph’s college of engineering
Anna University
Mrs. Mercy.D,M.Tech,Ph.D,
Asst. Professor,
HOD of EEE.
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Television control using sensors 1

2. SYNOPSIS
 ABSTRACT
 INTRODUCTION
 EXISTING SYSTEM
 PROPOSED SYSTEM
 BLOCK DIAGRAM
 WORKING
 PROGRAM
 WIRING DIAGRAM
 RECTIFIER SECTION
 POWER UNIT
 SENSOR
 MICROCONTROLLER
 RELAY
 HARDWARE RESULT
 ADVANTAGE
 APPLICATION
 REFERENCE
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3. Abstract:
The technology used for communication with TV is remote control
which is used from the year 1950s.
Since we have entered into modern technology,the remote control
infused with different functionality.Though it has different
functionality,it was not focused on handicapped personnels.Our project
aim is to help the handicapped personnels and make them to work
indepently. Movement is recognized by sensor and operation was done
by microcontroller.
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4. Introduction:
The first remote to control a television was developed by Zenith
Radio Corporation in 1950. The remote was connected to the
television by a wire. Years later “Flashmatic” developed a wireless
remote in 1955 by Eugene Polley.
In our project Remote less operation is possible. If the
person wants to control the tv, he/she just need to swap their hands
in left or right direction from where they are located.
The goal of our project is to help the poor and handicapped persons.
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5. Existing system:
 Using camera the hand gesture controlled
tv was launched by Samsung company.The
technology used is Image processing
system.
 But the drawback is the persons who
doesn’t have fingers cannot operate
independently and cost is expensive.
 Samsung tv cost is about 70,000 to
1,00,000.
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Television control using sensors 5

6. PROPOSED SYSTEM:
 Hand movement is recognized by ir sensors
and operation is done by microcontroller.
 This project is easier to install in all types of
TV’s.
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7. BLOCK DIAGRAM
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Television control using sensors 7
HAND
GESTURES
IR
SENSOR
(V+) (C+)
IR
SENSOR
(V-)(C-)
IR
SENSOR
(MENU)
MICRO
CONTROLLER
(ATMEL89C51)
POWER
UNIT
Tele
Vision

8. WORKING:
 Hand movements was recognized by the two ir
sensors and passes the current to the
microcontroller.
The microcontroller will work according to
the instruction given.
 Output pins:
Channel + = pin no 3.0
Channel - = pin no 3.1
Volume + = pin no 3.2
Volume - = pin no 3.3
Input pins:
Ir sensor (1) = pin no 2.0
Ir sensor (2) = pin no 2.1
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9. The output pins of the microcontroller was
given as a input to this PCB board which is
located inside the TV.
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Television control using sensors 9

10. PROGRAM:
org 0h
mov p2,#0ffh
scan: mov p3,#00h
jb p2.0,c0
jb p2.1,c1
mov p3,#00h
sjmp scan
c0: jb p2.1,v0
mov p3,#04h
sjmp scan
v0: mov p3,#01h
acall d1
sjmp scan
c1: jb p2.0,v1
mov p3,#08h
sjmp scan
v1: mov p3,#02h
acall d1
sjmp scan
d1:
mov TMOD,#010h
mov R3,#007h
TES:
mov TL1,#00h
mov TH1,#00h
setb TR1
T:
jnb TF1,T
clr TR1
clr TF1
djnz R3,TES
RET
end
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WIRING DIAGRAM:

12. RECTIFICATION:
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13.  A diode bridge is an arrangement of four
(or) more diodes in a bridge circuit
configuration that provides the same
polarity of output for either polarity of
input.
 The conversion of an alternating current
(AC) input into a direct current (DC)
output, it is known as a bridge rectifier
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14. POWER UNIT
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15.  We need 5V & 12V DC source but our three pin socket
gives 230V AC so inorder to get reduced voltage the
transformer(15v) was used and after the rectification it
gives 15v dc .
 5v and 12v are taken through 7805 & 7812 regulators.
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Television control using sensors 15
Components Operating Voltage
sensors 5 volts
microcontroller 5 volts
relay 12 volts

16. SENSORS:
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17.  An infrared sensor is an electronic
instrument which is used to sense certain
characteristics of its surroundings by
either emitting and/or
detecting infrared radiation.
 It will emit ir rays ,when the object
comes the ir gets reflected and received
by the receiver in the ir sensor and gives
5v as an output.
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18. MICROCONTROLLER:
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19.  In our project, we are using ATMEL 89c51
Micro controller. It is a heart of our
project. It will used to control the
graphical features of Television.
 A microcontroller is a computer present
in a single integrated circuit which is
dedicated to perform any task and
execute any specific application. It
contains memory, programmable
input/output peripherals as well a
processor.
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20. RELAY:
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Television control using sensors 20

21.  In our proposed system, we are using five 12V
DC relay. This relay circuit unit is connected
to the microcontroller through the transistor.
Then the output terminal of the relay circuit
is connected to the input terminal of the
Television.
 A relay is an electromagnetic switch operated
by a relatively small electric current that can
turn on or off a much larger electric current.
The heart of a relay is an electromagnet (a
coil of wire that becomes a
temporary magnet when electricity flows
through it).
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22. Advantages:
 Economical
 Controlling was easier
 Remote less operation is possible.
 Easier to install in all types of TV’s.
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23. APPLICATION
 HANDICAPS CAN CONTROL: The persons
who doesn’t have fingers can able to
operate independently
 HOME APPLIANCES CONTROL: It is possible
to extend the gesture recognition
technology to control the household
appliances.
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24. REFERENCE:
 Zhi-huachen, Junsssg-Tae Kim,Jianning Liang, Jing Zhang
and Yu-Bo Yuan1,” Real-Time Hand Gesture Recognition
Using Finger Segmentation”, The Scientific World Journal
Volume 2014 (2014), Article ID 267872, 9 pages.
 [2] William T. Freeman and Michal Roth(December 1994)”,
Orientation Histograms for Hand Gesture Recognition”, IEEE
Intl. Wkshp. on Automatic Face and Gesture Recognition,
Zurich, June, 1995.
 [3] Rafiqul Zaman Khan and Noor Adnan Ibraheem,””,
International Journal of Artificial Intelligence & Applications
(IJAIA), Vol.3, No.4, July 2012.
 [4] Rafiqul Zaman Khan and Noor Adnan Ibraheem ,”
COMPARATIVE STUDY OF HAND GESTURE RECOGNITION
SYSTEM”, pp. 203–213, 2012.
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25. 30-Jun-
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Thank
you…