Autonomous Search Vehicle
CHAPTER – 1
Synopsis
The search vehicle designed with
stepper motors is quite suitable for the defense application. Generally these kinds of vehicles are used in
jungles for searching the anti-social elements. The system can be called as autonomous,
because the vehicle itself detecting objects and according to the position of
the object the vehicle takes diversion either right turn or left turn
automatically. Some times the vehicle
travels in reverse direction also, this happens when the vehicle finds a huge
objects like trees, rocks etc., infrared sensors are used and they are arranged
at front side of the vehicle. For this
purpose four sets of sensors are used and each set contains two IR
sensors. Two sets of sensors are
arranged at left and right sides of the vehicle and the third set is arranged
at middle of the vehicle. Fourth set of
sensors also used for detecting pits or valleys, which is arranged at the front
side of the vehicle. From each set, IR
signal is delivered through one sensor like a laser beam, whenever the object
interrupts the beam, the signal is reflected and this reflected signal is
detected by another sensor. The outputs
of all the three sensors are fed to Micro-controller, and according to the
interrupted signals received by the sensors, the controller circuit drives the
stepper Motors. These Motors drives the
vehicle in different directions. For
example, whenever the right sensors are interrupted, the vehicle takes left
turn and moves in forward direction.
Similarly if the left sensor is interrupted, vehicle takes right
turn. Whenever the middle sensor is
interrupted, vehicle moves in reverse direction up to certain distance and
takes right or left turn.
The vehicle is called as search vehicle,
because this vehicle is equipped with wireless video camera for collecting and
transmitting the video images to the nearest monitoring station. At the monitoring station a small television
set is used, so that presence of a person in the forest can be identified at
monitoring station
In addition to the above an LDR is also used as
a light-sensing device, and it is interfaced with the trigger circuit. The idea of using this circuit is to
energize the vehicle headlamps automatically whenever the natural light
disappears, with the help of this auto lighting system, during the nighttime
also images can be transmitted. The
output of the trigger circuit is used to drive the relay and this relay contact
is used to energize the headlamps.
Provision is made such that during the day time these lights remains in
off condition.
CHAPTER – 2
EXECUTIVE
SUMMARY
This project report describes about the project
work “Autonomous Search Vehicle with Wireless Video Camera” used for the
Navigation in the Forest. The project is
part of a long-term vision, of developing an unmanned vehicle that moves in the
forest or desert for identifying the anti social elements. The same vehicle also can be used to study
the life of animals.
The main goal of the project is to present a
working solution for autonomous search navigation, to be implemented in a
vehicle for operation in forest terrains. The Autonomous Ground Vehicle (AGV)
designed with stepper motors, driven by the microcontroller detects the objects
like trees, bushes, stones etc., detecting the objects is main task for the
perception is obstacle detection, which is essential for a safe autonomous
vehicle. Detecting obstacles implies an active perception of the environment.
Typical sensors for this kind of task include optical sensors and cameras, in
this project work both are used. Four pairs of IR LED’s are used as optical
sensors and all the four pairs are arranged at front side of the vehicle. These sensors act as Laser rangefinders have
the great advantage of providing the information about the objects, which are
infront of the vehicle. Since it is a
prototype module we have arranged only four sets of sensors, but for the real
operation many more number of sensors are to be used, and they are supposed to
be arranged all four sides of the vehicle. The main advantage of using these
optical sensors is, it not only detects the object also these can detect the
pits as well as valleys. In this project
work one set of sensors is used for detecting the pits and valleys, the other
three sets of sensors are used to detect the obstacles.
In addition to the optical sensors, video
camera is also used in this project work and the output of this camera is
transmitted through the transmitter, hence this camera can be called as
wireless video camera. At the receiving
station, color or black and white television set can be used. The camera used for the purpose is
miniature, arranged at front side of the vehicle.
The complete vehicle, which carries the total
electronic circuitry including camera is designed to operate at 12V DC. For this purpose 7.5 AH maintenance free
battery is used. To drive the vehicle,
heavy-duty stepper motors are used at rear side, and the vehicle wheels are
directly coupled to the motor shafts. Two motors are used, and each motor is
capable to drive up to 5kg loads, because the holding torque of the motor is 5kg. To charge the battery, a separate charger is
deigned with 12 V step down transformer.
Construction of Autonomous Ground Vehicles has been an intense research
area for the last decade. A number of successful applications in agriculture
and the mining industry, many engineers, have been demonstrated. It is
reasonable to believe that similar solutions are relevant for a forest-based
AGV. However, the forest environments have enough peculiarities to make the
proposed development project highly advanced, and full of challenging tasks for
research.
CHAPTER - 3
INTRODUCTION
The research work will deal with obstacle
detection problems, where cameras, infra-red detectors, and other sensors are
utilized to detect objects close to the vehicle. Another area of research is
route navigation and control algorithm that take into account the specific
problems involved in controlling a forest machine in a forest environment. The
suggested hardware solution will involve micro controller and the sensors are
interfaced with controller, which drives both the motors according to the received
information from the sensors. This arrangement is believed to simplify and
speed up the development work significantly.
This document
is a pre-study for the project Autonomous Navigation for Forest Machines. The
general requirements and conditions for the development of such a product are
not addressed in this document. Instead, this paper focuses on one of the
necessary components: autonomous navigation, which involves sensing and moving
safely according to a fixed or changing plan in the environment of the vehicle.
The proposed project aims at developing a system design, including algorithms
and hardware specifications for such a vehicle.
The software and hardware will be installed in
a standard forest machine, selected and prepared in collaboration with the
manufacturer. A first version, which can
be called as prototype module of the system will be installed and demonstrated
on a smaller-sized vehicle. This vehicle can be called, as robot and this robot
will also be important for speeding up and simplifying the development.
The research work will deal with obstacle
detection problems, where cameras, infrared detectors, and other sensors are
utilized to detect objects close to the vehicle. The suggested software solution involves a
behavior-based architecture, commonly used in modern robotics. The vehicle’s
tasks are defined as behaviors, such as finding obstacles and Avoid
obstacles. Each of these behaviors is specified separately and works
essentially reflexively, i.e. the action is a direct function of the sensor
input. Control logic is often used to express complex behaviors in a compact
and efficient way. Safety issues involve avoidance of accidents and damage to
vehicles and environment. These problems will be given the highest priority in
the project. Besides pure research, the project also involves a lot of
engineering work, where existing technology is combined with innovative
research results into a working product.
The preliminary project plan runs over four months. A major
part of the work is assumed to be done by engineering students. Robot driving
has concentrated on forward-looking sensing, by sensing the obstacles. This is
an appropriate first step, but real deployment of mobile robots will require
additional sensing and reasoning to surround the robot with safeguard sensors
and systems. Our group is currently building short-range sensing to surround
objects to improve the safety of the system. These kind of obstacle sensors can
be arranged in other vehicles like city buses, which helps the driver to avoid
collision with objects. Busses drive at relatively slow speeds, in crowded
urban environments. One of the most frequent types of accidents in transit
busses is side collision, where the driver does not have adequate awareness of
objects near the bus, then turns too sharply and sideswipes a fixed object or
(less often) hits a pedestrian. Preventing these accidents requires short-range
sensing along the side and front of the bus, detecting fixed objects, detecting
and tracking moving objects, predicting the motion of the bus itself, and a
suitable driver interface for alerting the driver. In the military context, our
focus is short-range sensing for full automation of scout b vehicles. An
autonomous vehicle moving through a cluttered environment, such as a forest,
may need to move between objects (e.g. trees) with very little clearance on
either side of the vehicle. The conventional approach is to sense trees with forward-looking
sensors, enter those trees into a map, and estimate the clearance as the
vehicle moves forward and the trees move out of the field of view of the
forward-looking sensor. If sensor data is noisy, or if the vehicle slips and
slides in mud, the estimated clearance may be incorrect. It is better to
directly and continuously sense nearby objects all along the side of the
vehicle as it moves through the forest.
Civilian and
military vehicles, and both driver assistance and full automation, need to pay
special attention to moving objects, and particularly to humans. People move in
unpredictable ways. Seeing a person with a forward-looking sensor, or having
the driver note the position of a person in front of a bus, is no guarantee
that the person will remain safely out of the vehicle’s way.
Description
about different types of Autonomous Vehicles is provided in the next chapter.
CHAPTER –
4
BRIEF
DESCRIPTION ABOUT VARIOUS TYPES OF AUTONOMOUS VEHICLES
Autonomous land vehicles have been an intense area of
research and development for the last decades. An excellent introduction and
summary of the state-of-the-art is given in this chapter. In this section we
report on successful projects in application areas that relate to the proposed
forest based system we are aiming at.
Forest Vehicles
In our search for research related to our
proposed development project, we found many research articles related to Ground
Navigation Vehicles from the different people from all over the world, these
valuable research articles are found in web sites. Only one project with similar goals has been
found: The ROFOR project run by Anibal Ollero, University of Seville, Spain.
Not much information are to be found on the project, which has been going on
since 1997. The objective of the project is the design, development and
implementation of a control system for a forest processor machine (felling,
cutting and to heap up). The project also includes the design of the robot arm
and vehicle control system. The latest information
(http://www.esi.us.es/AICIA/2000/inge_e.html) to be found reports:
“In this project a forest processing machine
has been partially automated. thus, autonomous and tele-operated functions have
been combined in the control system. A distributed control system has been
developed and implemented in the machine. The system can be implemented by
using both cable and wireless communications between the operator cabin and a
PLC in the processing unit. The tele-operation system integrates the joystick
and other devices for machine operation, and a graphical interface for the visualization
of the processing functions during operation. The system also includes
functions for machine diagnosis, operator and machine production control, and
communications with a control centre using GSM. The tasks during 2000 have been
mainly devoted to debugging, integration of the system, and testing.”
Path tracking Vehicles
Path tracking methods aim at keeping the
vehicle approximately on a pre defined path, and bring it back to the path when
unacceptable deviations occur. Various approaches for this task have been
presented for AGV usage.
The main goal of the path tracking vehicle is to present a
working solution for autonomous path tracking navigation, to be implemented in
a vehicle for operation in forest terrains. The Autonomous Ground Vehicle (AGV)
should operate in two modes: Path Recording, and Path Tracking. In the Path
Recording mode, a human driver drives along the chosen path, recorded in the
computer memory. In the Path Tracking mode, the computer assumes control over
propulsion and steering. The vehicle then automatically travels along a
memorized path. The operation has to account for unplanned deviations from the
path, caused by imperfect sensing of position, and also by the vehicle sliding
and jumping along the path. Another important part involves detection of new
obstacles appearing on the path. In some cases the system should stop the
vehicle and alert the human operator, who should be given the option of
manually correcting the vehicle position, or giving the system the green light
to go ahead along the original path.
Agricultural vehicles
A lot of research and development with
autonomous vehicles for use in agriculture has been conducted the last decades.
The primary agricultural activities addressed have been harvesting, mowing and
applications of pesticides. O’Connor et
al. at Stanford University developed a system for agricultural equipment that
follows a preplanned path. A four-antenna system with Differential GPS (DGPS)
provided a heading accuracy of 0.1 degrees and offset accuracy of 2.5 cm. A row-following system for harvesting in cauliflower
fields was developed by Marchant et al. At Carnegie-Mellon Robotics Institute
an autonomous vehicle for cutting forage using vision-based perception on the
cut and uncut regions of crop was developed . The developed system used DGPS
combined with wheel encoders and gyro data to compute estimates of both
position and attitude. The vision sensing included functions for vehicle
guidance (row-following), “end-of-row” detection, correction of illumination
due to shadows and obstacle detection. An adaptive Fisher discriminant
classifier was used to segment the images in cut/uncut regions by pixel wise
classification based on RGB values. The obstacle detection was implemented with
similar techniques where each pixel was classified as “normal” or “abnormal”
relative to a training image. The probabilities for a pixel belonging to the
probability distributions constructed from the training image were used to
decide if the pixel belongs to an obstacle or not. Regions with a large number
of such pixels were identified as obstacles. Three onboard computers were used,
one for image analysis, one for control and one for task management. A pure
pursuit algorithm is used for the path tracking task.
Mass excavation
Automatic
digging is an active field of research. One approach is to let a human operator
select the digging point and to let the autonomous system take over to complete
the dig. Another, more difficult, approach is to use active sensing and
automatically select the dig point. Stentz et al. [Sten01] developed a fully
autonomous 25-ton hydraulic excavator for loading a truck with soft material
such as dirt. The machine uses laser rangefinders to recognize the truck,
detect obstacles and controlling the digging and loading process. The scanners
scan vertically and are mounted on a pan table swept left and right, thereby
covering all space of interest. According to the authors, the excavator is a
fully operational prototype but is “unlikely to appear commercially as such, at
least not initially”. It does not work under all weather conditions. The system
is able to detect most obstacles, but “could not be left alone to work a
complete shift without incident”. One suggested way to use it commercially is
to demand a human operator to remain on the machine to monitor for safety, but
to let the computer take over the actual digging/loading. Alternatively, a
remote operator could monitor the work, check plans for repositioning and
manually make corrections when necessary.
Mining machines
Mining is
an important application domain for autonomous off-road vehicles. Stentz et al.
[StOl99] report on a development of two mining aids: a system to measure and
control forward motion of a continuous miner, and a system to measure and
control the machine’s heading. Both measures are important to ensure high
cutting quality of the coal. The heading
task is solved by Kalman fusion of a fiber-optic gyro with a laser/camera
system. The motion is computed by correlating stereo images of the roof of the
mine, taken with a short delay. A recent project, reported in [ACFR01], use a
scanning laser to detect guideposts located on the side of the haul road. The
system aims at determining safe manual driving control of large haulage
vehicles.
Target machines
The final
target machine will be a standard forest machine, configured for the automatic
computer control and for the need of sensors of various kinds. This is the most
common approach to AGV design: simply automate an existing manual vehicle. To
simplify things, many manufacturers provide an “automation option” on manual
vehicles. E.g. Kalmar Industries (of Finland) who manufactures container
straddle carriers and forestry logging equipment. Komatsu-Haulpack (large
mining trucks and excavators) and Vost-alpine (underground mining equipment)
also offer automation options for their products. However, in our case it will
be necessary to install an automation interface since the plan is to use a
standard forest machine from Partek Forest AB.
Some parts of the project can be run without
access to a real forest machine. For this purpose a development robot should be
purchased and installed in a “miniature forest” inside or outside the research
premises. Some parts, such as cameras or laser detectors, have to be mounted on
the real target machine that can provide a realistic environment for
development and testing. Of course, the final complete system will be also
installed on a real forest machine and tested under real conditions.
Development robot
The project
will benefit from an additional platform in development and testing, for the
following reasons:
It will
increase the productivity of the development work since a full sized forest
machine will need considerably more effort to access and use.
The
modifications of the forest machine are not trivial and can be performed in
parallel with the development work.
A lot of
hardware and software will have to be purchased, learned and tested as part of
the project. This work is most efficiently done in-doors, but need a reasonably
realistic substitute for the eventual target machine In addition to serving the
goals of this project, a development robot will be useful since the research
team will learn both hardware and software relevant for many future projects.
The equipment can also be used for teaching robotics, aim at developing
education in autonomous systems for off-road use. The approach with a
small-scaled robot is encouraged in [HaCa01], and also considered as a better
alternative than computer simulation. After developing and testing on a
small-scale robot, the systems can be transferred to the target vehicle,
requiring much less modification than a simulated counterpart.
Two main
alternatives for a development robot exist: buying standard equipment or having
a custom designed robot constructed and manufactured. The latter alternative
has the advantage of providing a platform that can mimic certain
characteristics of the real forest machine that can be of value for the
development work. This would for example be the construction of the steering
device. The controller for a vehicle with articulated joint steering will
differ significantly from the controller in a vehicle with a differential drive
or with Ackerman (“carlike”) steering. Other important characteristic that is
lost in a standard robot is the size aspects. The placement of sensors such as
cameras or laser range scanners affects the behavior of the autonomous vehicle
to a large extent. However, even a custom designed robot will differ
significantly from the final target machine. Extensive work will therefore have
to be performed on the target machine, regardless of the choice of development
robot. The advantage with buying a standard robot is first of all that it is
available and works immediately (in a reasonably ideal world).
Block Diagram
CHAPTER –
5
BLOCKDIAGRAM AND ITS BRIEF DESCRIPTION
The main block in the Block diagram
is Obstacle Sensing circuit Designed with IR Sensors. The obstacle sensing block is designed with
LM567 IC, this is a tone decoder IC, also it generates tone frequency. For identifying the obstacles 3 sets of
sensors are used with three different 567 IC’s, similarly for detecting the pit
or valleys another set of sensors are used.
All these four sets of sensors are arranged at front side of the
vehicle. Each sensing block is designed
with two IR LEDs , Namely transmitting LED and receiving LED. Both the sensors
are arranged side by side with in half-inch distance. The tone generator part of the IC is
configured as astable mode of operation, which produces a perfect square wave of
10 KHz approximately and it is amplified using a transistor. The amplified signal is radiated through the
transmitting IR LED. The signal
delivered by the IR LED transmits in a line like LASER beam, when ever this
signal is interrupted by an object, the radiating signal will be spread in the
air because of the object, this signal is tracked by the another IR LED which
is called as optical signal sensor. On
receipt of optical signal, the tone decoder part of the IC detects the signal
through the optical sensor and generates a high signal for the micro
controller. Like wise the controller is
getting signals from the four sensing blocks, according to the received
information from the sensors, the controller controls the stepper motors in all
directions.
Especially the new era of Robotic field mainly deals with fuzzy logics
and artificial intelligence. That means, these gadgets should be in a position
to identify the obstacle before it and do some appropriate calculation to
overturn. This project also uses this
theory. The actual theory is “Collision avoidance theory”. This theory was developed by using range
finding sensors. We installed a new kind of IR sensors having the range. When
object obstacles in that range the IR beam will be reflected back and the
Receiver will absolve it. Here the receiver is connected to micorcontroller. Infrared
reflex sensors are most typically
used for distance measurements by transmitting a modulated infrared light pulse
and measuring the intensity of the reflection from obstacles nearby. In
practice, infrared sensors can only be used for detection of objects, not for
range measurements.
MICRO-CONTROLLER
The received information from the optical
sensors fed to micro-controller, for storing as well as controlling stepper
motors. Micro-controller unit is constructed with ATMEL 89C51 Micro-controller
chip. The ATMEL AT89C51 is a low power,
higher performance CMOS 8-bit microcomputer with 4K bytes of flash programmable
and erasable read only memory (PEROM).
Its high-density non-volatile memory compatible with standard MCS-51
instruction set makes it a powerful controller that provides highly flexible
and cost effective solution to control applications.
Micro-controller works according to the program
written in it. Most microcontrollers today are based on the Harvard architecture, which clearly defined the
four basic components required for an embedded system. These include a CPU core, memory
for the program (ROM or Flash
memory), memory for data (RAM), one or more timers (customisable ones and watchdog
timers), as well as I/O lines to communicate with external
peripherals and complementary resources — all this in a single integrated
circuit. A microcontroller differs from a general-purpose CPU chip
in that the former generally is quite easy to make into a working computer,
with a minimum of external support chips. The idea is that the microcontroller
will be placed in the device to control, hooked up to power and any information
it needs, and that's that.
A traditional microprocessor won't allow you to do this. It
requires all of these tasks to be handled by other chips. For example, some
number of RAM memory chips must be added. The amount of memory provided is more
flexible in the traditional approach, but at least a few external memory chips
must be provided, and additionally requires that many connections must be made
to pass the data back and forth to them.
For instance, a typical microcontroller will have a built
in clock generator and a small amount of RAM and
ROM (or EPROM
or EEPROM),
meaning that to make it work, all that is needed is some control software and a
timing
crystal (though some even have internal RC
clocks). Microcontrollers will also usually have a variety of input/output
devices, such as analog-to-digital converters, timers, UARTs
or specialized serial communications interfaces like I²C,
Serial Peripheral Interface and Controller Area Network. Often these integrated
devices can be controlled by specialized processor instructions.
Originally, microcontrollers were only programmed in assembly
language, or later in C code. Recent microcontrollers integrated with
on-chip debug ciruit accessed by In-circuit emulator via JTAG
(Joint Text Action Group) enables a programmer to debug the software of an
embedded system with a debugger.
More recently, however, some microcontrollers have begun to
include a built-in high-level programming language interpreter for greater ease of use. BASIC is a common choice, and is used in the
popular BASIC Stamp MCUs (Master Control Unit).
Microcontrollers trade away speed and flexibility to gain ease of equipment
design and low cost. There's only so much room on the chip to include
functionality, so for every I/O device or memory increase the microcontroller includes,
some other circuitry has to be removed. Finally, it must be mentioned that some
microcontroller architectures are available from many different vendors in so
many varieties that they could rightly belong to a category of their own. Chief
among these are the 8051 family.
Stepper Motor Drive Circuit
The output of the microcontroller is used to drive the stepper motor through drive circuit, and the motor used in this project work is having four windings, therefore the controller drives the motor through four outputs. The stepper motor windings are energized one after another in a sequence according to the code produced by the controller through motor drive circuit. This motor rotates in step wise and the step angle is 1.80. The speed of the motor can be varied by varying the pulse rate. The pulses are produced by the controller can be controlled through the program by which motor speed can be varied. The stepper motor used in this project work is capable to drive up to 5kg load.
ABOUT STEPPER MOTOR
The stepper Motor used in this
project work is indigenous one,which is an easy and reliable device to convert electrical
energy into mechanical motion. It does not have the accuracy or the response
speed of a dc motor. It is, however, utilized in many applications such as disk
drives, printers, recorders, plotters, copiers, scanners, fax machines, robots,
machine tools, automobiles, and medical equipment for its ease of use. Since
each input change causes exactly one step rotation, a stepper motor may be operated
in an open loop system. Typical step angles are 0.9o, 1.8o, 3.6o, 7.5o, 15o, and 30o.
Stepper motors are frequently applied to problems that
require precision positioning without rotor position feedback. The most common
stepper motors have multiple field windings and a permanent magnet rotor. The
rotor is made to rotate by means of electronically commutating (switching) the
current in the field windings. These motors are design to operate indefinitely
with DC voltage applied to one or more fields in order to hold the rotor in a
fixed position.
The rotor will rotate in discrete steps when the fields are
energized in a specific sequence. Depending upon the sequence, the rotor may
rotate clockwise (CW) or counter clockwise (CCW). Stepper motors are designed
to rotate a fixed number of degrees with each step. A 1.8-degree stepper motor
requires 200 steps for the rotor to make a full revolution.
Stepper motors
have multiple stepping modes, full stepping, half-stepping and micro stepping.
During full stepping, the rotor rotates the designed angular distance (1.8
degrees for example) each step. To rotate the motor, only four distinct input
combinations or states are required to rotate the rotor. Repeating the sequence
of states in the proper order results in what appears to be a continuously
rotating rotor.
Half stepping is
achieved on the same stepper motor by using an 8-state sequence. The rotor now
rotates only half the designed angular rotation per half step. For a 1.8-degree
stepper motor, the rotor will rotate 0.9 degrees for each half-step thus requiring
400 half steps for the rotor to make a full revolution. The chief advantage of
half stepping is higher position control precision. Micro stepping requires
extremely complex field current switching and allows an infinitely small
rotation. Micro stepping is beyond the scope of this experiment. (For more
information on stepper motor operations, read chapter – 11).
There are inherent problems with stepper motors
that designers must be aware of to properly apply them. Due to rotor mass and
finite energy in the field, stepper motors can only step so fast before the
rotor will begin to skip steps and eventually stop completely. The primary
cause of this high-speed stall is reduced field current at high speeds. This
reduced field current is caused by back EMF generated by the turning rotor. One
way to increase the top speed is to increase the field current at higher speeds.
Elaborate field current control schemes have been devised to increase the
current at high speeds without melting down the motor at slow speeds.
TRIGGER
CIRCUIT BLOCK
This block is designed with 555 timer IC and an
LDR is used as a light sensing device, the same is wired with timer IC. The idea of building this block is to
energize the vehicle head-lamps automatically, whenever the natural light
disappears. Two lamps are provided at the front side of the vehicle and these
lamps energized through the relay contact.
The timer IC configured as Schmitt
trigger mode of operation, triggers at 1/3Vcc. When the LDR is exposed to the
light intensity, the resistance of the LDR will become less than 1KW and makes the voltage at
comparator input less than 1/3Vcc which in turn triggers the timer IC and
generates a high signal at its output (Pin No.3). When the IC is triggered relay will be
energized automatically, this relay contact is used to provide supply to the
lamps. For this purpose normally closed
contact is used, when the relay energized closed contact becomes open and
breaks the supply to the lamps. When the
natural light disappears, the resistance of the LDR will become more than 500K,
which in turn comparator input voltage increases more 2/3Vcc, there by the
relay remains in de-energized condition.
When the relay remains in de-energized condition, normally closed
contact remains in closed condition and provides supply to the lamps. Hence these lamps energized automatically
when the natural light disappears.
TRANSMITTER
The output of the video camera
is fed to transmitter as modulating waves and these waves are super imposed
over the carrier and transmitted as modulated waves. The carrier is designed for transmitting the
picture details. At the receiving end,
a small television set of 4” screen is used.
The video camera and the television set, both are purchased from the
market. They are readily available in
Hyderabad electronic market.
The transmitter circuit
generates a continuous frequency of 100MHz approximately, which is used to form
a permanent link between the transmitter and receiver, and this is known as
carrier frequency. The output of video
camera is fed to this carrier input as a modulating wave. This is a frequency
modulated radio transmitter. The
radiating power of the transmitter is less than 20mw, so that the range between
transmitter and receiver can be less than 25 feet. The detailed description is provided in the
next chapter. For the demonstration
purpose black & white television set is used, the block diagram of this
simple TV along with its brief description is provided in this chapter. The details are as followed.
The block diagram of simplified block &
white TV receiver shown below
In above block diagram, the receiving antenna
intercepts radiated RF signals and the turner selects desired channels
frequency band and converts it to common IF band of frequencies. The receiver employs two or three stages of
IF amplifiers. The output from the last
IF stage is de-modulated to recover the video signal. This signal that carries picture information
is amplified and coupled to the picture tube, which converts the electrical
signal back into picture elements of the same degree of black and white. The picture tube is very similar to the
cathode-ray tube used in an oscilloscope.
The glass envelope contains and electron-gun structure that produces a
beam of electrons aimed at the fluorescent screen. When the electron beam strikes the
screen. Light is emitted. A pair of deflecting coils mounted on the
neck of picture tube in the same way as the beam of camera tube scans the
target plate deflects the beam. The
amplitudes of currents in the horizontal and vertical deflecting coils are so adjusted
that the entire screen called raster, gets illuminated because of the fast rate
of scanning.
The video signal is fed to the grid or cathode
of picture tube. When the varying
signal voltage makes the control grid less negative, the beam current is
increased, making the spot of light on the screen brighter. More negative grid voltage reduces
brightness. If the grid voltage is
negative enough to cut-off the electron beam current at the picture tube, there
will be no light. This state
corresponds to black. Thus the video
signal illuminates the fluorescent screen from white to black through various
shades of grey depending on its amplitude at any instant. This corresponds to brightness changes
encountered by the electron beam of the camera tube while scanning picture
details element by element. The rate at
which the spot of light moves is so fast that the eye is unable to follow it
and so a complete picture is seen because of storage capability of the human
eye.
The path of sound signals is
common with the picture signal from antenna to video detector section of the
receiver. Here the two signals are
separated and fed to their respective channels.
The frequency modulated audio signal is demodulated after at least one
stage of amplification. The audio
output from the FM detector is given due amplification before feeding it to the
loudspeaker.
CHAPTER-6
CIRCUIT ANALYSIS
The
detailed circuit description of the project work “Autonomous Search Vehicle
with Wireless Video Camera” is explained along with circuit diagram. For
better understanding total circuit diagram is divided into various sections and
each section circuit description with its circuit diagram is provided in this
chapter. The details are as follows.
INFRARED TRANSMITTER / RECEIVER SECTION:
This
section is designed for detecting the obstacles which are in front of the
vehicle within the range. It is basically an infrared proximity detection
system. Here high efficiency IR-LED is driven by PNP Transistor SK100 with a
modulating frequency of about 10 KHz. This frequency is available from Pin 5 of
LM 567 IC (versatile PLL tone decoder IC). The 47. resistor connected in series with the IR LED
limits the IR-LED current.
The
basic function of the detector circuit is by radiating energy into space
through IR LED and detecting the echo signal reflected from an object. The
reflected energy that is returned to the receiving LED indicates the presence
of a person who is within the range. A portion of the transmitted energy is
intercepted by the target and re-radiated in many directions. The radiation
directed back towards the system is collected by the receiving LED causes to
produce a high signal at Pin No.8 of LM567 IC. The output of the receiver is
fed to the Microcontroller. Whenever the controller receives a high signal from
the reference point, the microcontroller drives the stepper motor through the
driving transistors and rotates the motor automatically. Four similar circuits
are designed for the four sets of optical sensors. The following is the diagram
of sensing circuit.
The
output of the sensing circuit is inverted using a switching transistor, i.e.,
whenever the signal is interrupted by sensing the presence of an object which
is at very near to the reference point, the final output of the inverter will
become high automatically and this high signal is fed to the controller.
MICROCONTROLLER
Circumstances
that we find ourselves in today in the field of microcontrollers had their
beginnings in the development of technology of integrated circuits. This
development has made it possible to store hundreds of thousands of transistors
into one chip. That was a prerequisite for production of microprocessors, and
the first computers were made by adding external peripherals such as memory,
input-output lines, timers and other. Further increasing of the volume of the
package resulted in creation of integrated circuits. These integrated circuits
contained both processor and peripherals. That is how the first chip containing
a microcomputer, or what would later be known as a microcontroller came about.
Memory unit
Memory
is part of the microcontroller whose function is to store data. The easiest way
to explain it is to describe it as one big closet with lots of drawers. If we
suppose that we marked the drawers in such a way that they can not be confused,
any of their contents will then be easily accessible. It is enough to know the
designation of the drawer and so its contents will be known to us for sure.
Memory
components are exactly like that. For a certain input we get the contents of a
certain addressed memory location and that’s all. Two new concepts are brought
to us: addressing and memory location. Memory consists of all memory locations,
and addressing is nothing but selecting one of them. This means that we need to
select the desired memory location on one hand, and on the other hand we need
to wait for the contents of that location. Besides reading from a memory
location, memory must also provide for writing onto it. This is done by
supplying an additional line called control line. We will designate this line
as R/W (read/write). Control line is used in the following way: if r/w=1,
reading is done, and if opposite is true then writing is done on the memory
location. Memory is the first element, and we need a few operation of our
microcontroller.
Central Processing Unit
Let
add 3 more memory locations to a specific block that will have a built in
capability to multiply, divide, subtract, and move its contents from one memory
location onto another. The part we just added in is called “central processing
unit” (CPU). Its memory locations are called registers.
Registers
are therefore memory locations whose role is to help with performing various
mathematical operations or any other operations with data wherever data can be
found. Look at the current situation. We have two independent entities (memory
and CPU) which are interconnected, and thus any exchange of data is hindered,
as well as its functionality. If, for example, we wish to add the contents of
two memory locations and return the result again back to memory, we would need
a connection between memory and CPU. Simply stated, we must have some “way”
through data goes from one block to another.
Bus
That
“way” is called “bus”. Physically, it represents a group of 8, 16, or more
wires. There are two types of buses: address and data bus. The first one
consists of as many lines as the amount of memory we wish to address, and the
other one is as wide as data, in our case 8 bits or the connection line. First
one serves to transmit address from CPU memory, and the second to connect all
blocks inside the microcontroller.
Input - output unit
Those
locations we’ve just added are called “ports”. There are several types of
ports: input, output or bi-directional ports. When working with ports, first of
all it is necessary to choose which port we need to work with, and then to send
data to, or take it from the port.
When
working with it the port acts like a memory location. Something is simply being
written into or read from it, and it could be noticed on the pins of the
micro-controller.
The
following is the Circuit diagram of Micro-controller
HOW THE CONTROLLER DRIVES
THE STEPPER MOTOR
To
drive the stepper motor in both the directions (clockwise or anticlockwise) the
system is programmed to produce the pulses in a sequence at four different
outputs, these sequential programmed outputs energizes the motor windings one
after another in a sequence. To drive the motor in clockwise, the sequence
starts from top to bottom, similarly to drive the motor in anti-clockwise, the
sequence starts from the bottom to top. Like wise the motor rotates in both the
directions.
The
output of the controller is used to drive the switching transistors; finally
these switching transistors drive the stepper motor. These transistors provide
the required current to energize the motor. The stepper motor used in this
project work is capable to drive up to 5Kg loads, i.e., the holding torque is
5Kg. When the winding is energized, each winding consumes 1 Amp approximately.
The
following is the diagram of Stepper Motor drive Circuit
TRANSMITTER
The
output of the video camera is fed to this transmitter, for transmitting the
video signals in amplitude modulation. The video signal coming out of video
camera is nothing but pure composite video signal and this signal is fed to
this AM transmitter. The AM transmitter consists three sections namely
(1)
VHF Oscillator
(2)
Driver Stage or Modulator
(3)
Final Amplifier Stage
VHF Oscillator :
This
section is designed with BC 547 general purpose NPN switching transistor. This
is a low power transistor and it is biased with R1 & R2. With the help of
tank circuit designed with inductance & capacitance, and by varying the
values of these two components the frequency can be varied very linearly from
30 to 300MHz. The frequency can be varied either by adjusting the gap between
the turns of inductance (L1) or by varying the value of capacitance (T1). T1 is
nothing but a trimmer means variable capacitor. Since we are not applying any
signal to the transistor base, the above circuit can be used as VHF oscillator.
The output of this oscillator is treated as carrier and the same is fed to the
modulator section.
MODULATOR:
In
this section C2570 transistor is used, this is a PNP transistor, popularly
known as high frequency switching transistor. The output of the video camera in
the form of composite video signal is applied to the base of this transistor.
This circuit is configured in common base mode, the advantage of this mode is,
it has low input impedence and provides high output impedence. The output of
the VHF oscillator is fed to collector and the final output taken from the
emitter of this PNP transistor. Since it is a PNP transistor there won’t be any
phase reversal (1800 phase shift), because this
transistor is configured in common base mode. Therefore finally at the output
of this stage, a perfect AM wave can be obtained. The another advantage of this
circuit is, it has constant voltage gain through out the frequency range.
The
following is the circuit diagram of Modulator
AMPLIFIER STAGE:
In
this section 2 N 3866-NPN Transistor is used to amplify the inputed signal.
This is a medium power transister. This transistor is configured as common
emitter mode. A parallel tuned circuit is designed using L3,L2 AND T2, in this
T2 is the trimmer i.e., variable capacitor and withthe help of this T2, the
circuit can be tuned to Match the carrier frequency, then resonance will occur
at maximum impedence. Hence, with constant voltage gain and current gain, the
signal will be transmitted through the antenna.
The
circuit diagram of AMplifier is given below:
The
Complete Circuit Diagram of transmitter including three stages is as follows
POWER SUPPLY:
The
power Suppply is a Primary requirement for the project work. Therequired DC
power supply for the total circuitry is derived from the mains line. For this
purpose center tapped secondary of 12V-0-12V transformer is used. From the
power supply unit three different DC voltages of +12V , +5V and +9V are derived
using rectifiers and filters. With the help of positive voltage regulators, a
constant voltage source of +5V and +9V are derieved, for this purpose 7805 and
7809 3Pin Voltage regulators are used so that, though the mains supply varies
from 170V to 250V, the output DC levels remains constant.
Rectification
is a process of rendering an alternating current or voltage into an
unidirectional one. The component used for rectification is called ‘Rectifier’.
A rectifier permits current to flow only during the positive half cycles of the
applied AC voltage by eliminating the negative half cycles or alternations of
the applied AC voltage. Thus pulsating DC is obtained. to obtain smooth DC
power, additional filter circuits are required.
A
diode can be used as rectifier. There are various types of diodes. But,
semiconductor diodes are very popularly used as rectifiers. A semiconductor
diode is a solid state device consisting of two elements are being an electron
emitter or cathode, the other an electron collector or anode. since electrons
in a semiconductor diode can flow in one direction only-form emitter to
collector- the diode provides the unilateral conduction necessary for
rectification.
The
rectified Output is filtered for smoothning the DC, for this purpose 1000
Micro-farade capacitor is used in the filter circuit. The filter capacitors are
usually connected in parallel with the rectifier output and the load. The AC
can pass through a capacitor but DC cannot, the ripples are thus limited and
the output becomes smoothed. When the voltage across the capacitor plates tends
to rise, it stores up energy back into voltage and current. Thus the
fluctuation in the output voltage are reduced considerable.
The
following is the circuit diagram of Power supply.
CHAPTER - 7
DETAILS ABOUT I R SENSOR
INTRODUCTION
This Handbook is intended to be used as a sensor selection reference during the design and planning of perimeter security systems. The Handbook contains acompendium of sensor technologies that can be used to enhance perimeter security and intrusion detection in both permanent and temporary installations and facilities.
OPERATIONAL REQUIREMENTS
The application of security measures is tailored to the needs and requirements of the facility to be secured. The security approach will be influenced by the type of facility or material to be protected, the nature of the environment, and the client’s previous security experience and any perceived threat. These perceptions form the basis for the user’s initial judgment; however, these perceptions are rarely sufficient to develop an effective security posture. The nature and tempo of activity in and around the site or facility, the physical configuration of the facility/complex to be secured, the surrounding natural and human environment, along with the fluctuations and variations in the weather, as well as new or proven technologies are all factors which should be considered when planning a security system In addition to the large variety of permanent Federal and State facilities located within the confines of the United States that require perimeter security, there is a family of American military, humanitarian, diplomatic and peacekeeping complexes overseas, many of which, although transitory in nature require a dynamic and creative approach to the challenge of perimeter security. Many of the technologies discussed in this handbook can, with some adaptation, be applied to these situations. Typical examples of these complexes include: logistic depots, ship and aircraft unloading and servicing facilities, vehicle staging areas, personnel billeting compounds, communications sites and headquarters compounds. Although the personnel and vehicle screening challenges at each site will vary with the nature of the environment and the potential threat, the role of perimeter security will be similar in all cases. Basically stated, the role of a perimeter security system is fourfold: deter, detect, document and deny/delay any intrusion of the protected area or facility. In the case of American facilities and complexes located in foreign countries, this challenge is further complicated when U.S. forces cannot patrol or influence the environment beyond the immediate "fenceline". In situations such as these, the area within the fenceline (the Area of Responsibility - AOR), should be complemented by an area of security surveillance beyond the fence, (preferably a cordon sanitaire) where in the perimeter, from an early warning perspective is extended outward. This is particularly essential in situations where the host government security forces cannot provide a reliable outer security screen, or the area to be secured abuts a built-up industrial, business, public or residential area.
SYSTEM INTEGRATION
The integration of sensors and systems is a major design consideration and is best accomplished as part of an overall system/installation/facility security screen. Although sensors are designed primarily for either interior or exterior applications, many sensors can be used in both environments. Exterior detection sensors are used to detect unauthorized entry into clear areas or isolation zones that constitute the perimeter of a protected area, a building or a fixed site facility. Interior detection sensors are used to detect penetration into a structure, movement within a structure or to provide knowledge of intruder contact with a critical or sensitive item.
DETECTION FACTORS
Six factors typically affect the Probability of Detection (Pd) of most area surveillance (volumetric) sensors, although to varying degrees. These are the:1) amount and pattern of emitted energy; 2) size of the object; 3) distance to the object; 4) speed of the object; 5) direction of movement and 6) reflection/absorption characteristics of the energy waves by the intruder and the environment (e.g. open area, shrubbery, or wooded). Theoretically, the more definitive the energy pattern, the better. Likewise, the larger the intruder/moving object the higher the probability of detection. Similarly, the shorter the distance from the sensor to the intruder/object, and the faster the movement of the intruder/object, the higher the probability of detection. A lateral movement that is fast typically has a higher probability of detection than a slow straight-on movement. Lastly, the greater the contrast between the intruder/moving object and the overall reflection/absorption characteristics of the environment (area under surveillance), the greater the probability of detection.
SENSOR CATEGORIES
Exterior intrusion detection sensors detect intruders crossing a particular boundary or entering a protected zone. The sensors can be placed in clear zones, e.g. open fields, around buildings or along fence lines. Exterior sensors must be resilient enough not only to withstand outdoor weather conditions, such as extreme heat, cold, dust, rain, sleet and snow, but also reliable enough to detect intrusion during such harsh environmental conditions.
Exterior intrusion sensors have a lower probability of detecting intruders and a higher false alarm rate than their interior counterparts. This is due largely to many uncontrollable factors such as: wind, rain, ice, standing water, blowing debris, random animals and human activity, as well as other sources to include electronic interference. These factors often require the use of two or more sensors to ensure an effective intrusion detection screen.
Interior intrusion detection sensors are used to detect intrusion into a building or facility or a specified area
inside a building or facility. Many of these sensors are designed for indoor use only, and should not be exposed to weather elements. Interior sensors perform one of three functions: (1) detection of an intruder approaching or penetrating a secured boundary, such as a door, wall, roof, floor, vent or window, (2) detection of an intruder moving within a secured area, such as a room or hallway and, (3) detection of an intruder moving, lifting, or touching a particular object. Interior sensors are also susceptible to false and nuisance alarms, however not to the extent of their exterior counterparts. This is due to the more controlled nature of the environment in which the sensors are employed.
TECHNOLOGY SOLUTIONS
With the advent of modern day electronics, the flexibility to integrate a variety of equipment and capabilities greatly enhances the potential to design an Intrusion Detection System to meet specific needs. The main elements of an Intrusion Detection System include: a) the Intrusion Detection Sensor(s), b) the Alarm Processor, c) the Intrusion/Alarm Monitoring Station, and d) the communications structure that connects these elements and connects the system to the reaction elements. However, all systems also include people and procedures, both of which are of equal and possibly greater importance than the individual technology aspects of the system. In order to effectively utilize an installed security system, personnel are required to operate, monitor and maintain the system, while an equally professional team is needed to assess and respond to possible intrusions. Intrusion detection sensors discussed in this Handbook have been designed to provide perimeter security and include sensors for use in the ground, open areas, inside rooms and buildings, doors and windows. They can be used as standalone devices or in conjunction with other sensors to enhance the probability of detection. In the majority of applications, intrusion detection sensors are used in conjunction with a set of physical barriers and personnel/vehicles access control systems. Determining which sensor(s) are to be employed begins with a determination of what has to be protected, its current vulnerabilities, and the potential threat. All of these factors are elements of a Risk Assessment, which is the first set in the design process.
PERFORMANCE CHARACTERISTICS:
In the process of evaluating individual intrusion detection sensors, there are at least three performance characteristics which should be considered: Probability of Detection (PD), False Alarm Rate (FAR), and Vulnerability to Defeat (i.e. typical measures used to defeat or circumvent the sensor). A major goal of the security planner is to field an integrated Intrusion Detection System (IDS), which exhibits a low FAR and a high PD and is not susceptible to defeat. Probability of Detection provides an indication of sensor performance in detecting movement within a zone covered by the sensor. Probability of detection involves not only the characteristics of the sensor, but also the environment, the method of installation and adjustment, and the assumed behavior of an intruder. False Alarm Rate indicates the expected rate of occurrence of alarms high is not attributable to intrusion activity. For purposes of this Handbook, "false alarms" and "nuisance alarms" are included under the overall term "False Alarm Rate", although technically, there is a distinction between the two terms. A nuisance alarm is an alarm event which the reason is known or suspected (e.g. animal movement/electric disturbance) was probably not caused by an intruder. A false alarm is an alarm when the cause is unknown and an intrusion is therefore possible, but a determination after the fact indicates no intrusion was attempted. However, since the cause of most alarms (both nuisance/false) usually cannot be assessed immediately, all must be responded to as if there is a valid intrusion attempt.
Vulnerability to Defeat is another measure of the effectiveness of sensors. Since there is presently no single sensor which can reliably detect all intruders, and still have an acceptably low FAR, the potential for "defeat" can be reduced by designing sensor coverage using multiple units of the same sensor, and/or including more than one type of sensor, to provide overlapping of the coverage area and mutual protection for each sensor.
ENVIRONMENTAL CONSIDERATIONS
Most security zones have a unique set of environmental factors which are taken into consideration when designing the system, selecting the sensors, and performing the installation. Failure to consider all the factors can result in excessive "false alarms" and/or "holes" in the system.
Each potential intrusion zone, whether it be a perimeter fence, an exterior entrance, a window, an interior door, a glass partition or a secured room, will have special "environmental" factors to be considered. External zones are likely to be affected by the prevailing climate, daily/hourly fluctuations in weather conditions, or random animal activity as well as man-made "environmental" factors such as activity patterns, electrical fields and/or radio transmissions, and vehicle, truck, rail or air movement.
There are a wide variety of other considerations, which must be assessed when placing sensors to monitor the perimeter of an area or building. A fundamental consideration is the need to have a well-defined clear/surveillance or isolation zone. Such a zone results in a reduction of FARs caused by innocent people, large animals, blowing debris, etc. If fences are used to delineate the clear zone or isolation zone, they should be carefully placed, well constructed and solidly anchored, since fences can move in the wind and cause alarms. Consideration should also be given to dividing the perimeter into independently alarmed segments in order to localize the area of the possible intrusion and improve response force operations. Internal zone sensors can also be impacted by a combination of external stimuli, such as machinery noise and/or vibrations, air movement caused by fans or air conditioning/heating units, and changes in temperature to mention a few. Many of these and others will be discussed in the individual Technology Reviews presented in Section Two.
ALARM MONITORING SYSTEMS
In addition to the Off-the-Shelf Intrusion Technology that is discussed in this Handbook, there is a variety of alarm monitoring systems available. Although each system is unique in the number and variety of options available, all systems perform the basic function of annunciating alarms and displaying the alarm locations in some format. The front-end (control function) of most of these systems is configured with standard 486 or Pentium computer utilizing Windows, DOS, UNIX or OS/2 as the operating system. Many of these systems operate with proprietary software, written by the manufacturer of the security system.
ALARM ASSESSMENT
State-of-the-art alarm assessment systems provide a visual and an audible indication of an alarm. The alarm data is displayed in one of two forms - either as text on a computer/monitor screen or as symbols on a map representation of the area. Most systems offer multiple levels (scales) of maps which can be helpful in guiding security personnel to the location of the alarm. The urgency of the audible/visual alarm cue can vary as to the nature of the alarm or the location of the possible intrusion (e.g. high priority versus low priority areas). In most security systems, several of these capabilities are combined to provide the Security Operations Center personnel with a relatively comprehensive picture of the alarm situation. One option offers a visual surveillance capability which automatically provides the Security Alarm Monitor with a real-time view of the alarm/intrusion zone.
SENSOR INTEGRATION
From a technology perspective, the integration of sensors into a coherent security system has become relatively easy. Typically, most sensor systems have an alarm relay, from points a, b or c, and may have an additional relay to indicate a tamper condition. This relay is connected to field panels via four wires, two for the alarm relay and two for the tamper relay, or two wires, with a resistive network installed to differentiate between an alarm and tamper condition. Most monitoring systems will also provide a means of monitoring the status of the wiring to each device. This is called line supervision. This monitoring of the wiring provides the user with additional security by indicating if circuits have been cut or bypassed.
Additionally, different sensors can be integrated to reduce false alarm rates, and/or increase the probability of intrusion detection. Sensor alarm and tamper circuits can be joined together by installing a logic "and" circuit. This "and" system then requires multiple sensors to indicate an alarm condition prior to the field unit sending an alarm indication. Usage of the logic "and" circuit can reduce false alarm rates but it may decrease the probability of detection because two or more sensors are required to detect an alarm condition prior to initiating an alarm.
COMMUNICATIONS
Communications between the front-end computer and the field elements (sensors, processors) usually employ a variety of standard communications protocols. RS-485, RS-232, Frequency Shift Keying (FSK), and Dual Tone Multi Frequency (DTMF) dial are the most common, although occasionally manufacturers will use their own proprietary communications protocol which can limit the option for future upgrades and additions. In order to reduce the tasks required to be handled by the computer, some systems require a preprocessing unit located between the computer and the field processing elements. This preprocessor acts as the communications coordinator to "talk" to the field elements thus relieving the computer of these responsibilities.
POWER SUPPLY
Regardless of how well designed and installed, all intrusion detection systems are vulnerable to power losses, and many do not have an automatic restart capability without human intervention. Potential intruders are aware of this vulnerability and may seek to "cut" power if they cannot circumvent the system via other means. It is critical that all elements of the system have power backups incorporated into the design and operation to guarantee uninterrupted integrity of the sensor field, alarm reporting, situation assessment, and response force reaction.
COST CONSIDERATIONS
The costs of an Intrusion Detection System are easy to underestimate. Sensor manufacturers often quote a cost per meter, cost per protected volume, for the sensor system. Often this figure is representative of the hardware cost only, and does not include the costs of installation, any associated construction or maintenance. Normally, the costs associated with procuring the sensor components are outweighed by the costs associated with acquiring and installing the assessment and alarm reporting systems.
SENSOR APPLICATIONS
Most sensors have been designed
with a specific application in mind. The
environment categorizes these applications where they are most commonly
employed. The two basic environments or
categories are Exterior and Interior.
Each of the two basic categories has a number of sub-sets, such as
fence, door, window, hallway, and room.
The first two of the following set of graphics show a "family tree"
illustration of the sensors most applicable to the these two environments
(exterior/interior). As mentioned previously, some of the technologies can be
used in both environments and consequently are shown on both graphics.
CHAPTER-8
Detailed Description About Video Cameras
The
video camera is a kind of transducer, which produces electrical energy from
light energy. I.e., the input to the video camera is light energy and this
light energy is converted into electrical signals. Video converting the complete spectrum of
visible light into electrical frequencies.
There
are two basic types of video cameras: monochrome (Black and White) and
color. Monochrome cameras are lower in
price, but color is more realistic.
Both have advantages and both are desirable. By using both types we can intersperse black
and while pictures with color to produce special effects. But, as far as camera features are
concerned, black and while cameras can have features found in the most
expensive color cameras monochrome cameras require less light than color
cameras and operate with battery power.
They do not have as many adjustments as color cameras, hence they are
easier to use.
The
video camera not only converts the light reflected from a scene into an
analogous video voltage, but it also supplies the necessary sync and blanking
pulses to go along with it. In short, the video camera produces the equivalent
of an NTSC (National Television Standards Committee) signal, the same sort of
signal that is generated by a television broadcasting station.
There
is one exception, though. At the TV
broadcasting station the composite video signal is loaded on to a carrier wave
so as to be able to cover the distance between the station and all the
receivers tuned to it. The composite
video signal, recorded on videotape by the VCR accompanying the camera, can be
inserted into the in-home VCR for reproduction on the television screen. But that missing factor, the carrier wave,
must be introduced. This is handled by
the converter section of the VCR, supplying a carrier wave whose frequency is
that of either channel 3 or channel 4.
Thus the composite video signal, now complete with a carrier, can be
sent into the TV receiver via its antenna terminals. All that is required of the TV set is that
it’s tuner be adjusted to the frequency of the carrier that is, either the
frequency of channel 3 or channel 4, whichever frequency is used by the
converter
A
video camera can be used indoors or out.
For in-home use power for operating the camera can be obtained from the
AC power line by using an adaptor or the battery pack, as an additional piece
of equipment. The amount of power used
by a camera is least when various camera functions are manually operated. It takes battery power to make use of cameras
automatic features. Thus a camera
could need 7.6 watts approximately with its auto focus in the manual
position. The camera used in this
project work is designed to operate 12V DC.
The
trend in video camera design is to produce cameras that are as lightweight and
as compact as possible. The camera used
in this project work is known as Board camera and the weight of this camera is
less than 200 grams. The details of the
Board camera collected from Internet, the details along with the picture is as
follows
"Board"
Camera The "Board" camera is an
entire camera on a single TINY circuit board. Anytime you have ever
seen someone with a camera hidden in a teddy bear, wall clock or smoke
detector, it has been a board camera. Though it is very small, and perfect
for hidden-camera applications, the wires are very sensitive to damage.
This camera should not be used for outside use.
The photograph of the actual
camera used in this project work is provided at the end of this chapter.
We may find references to
cameras as being all solid state, often neglecting to add that the camera does
contain a camera tube, known as pickup tube.
These tubes are identified by various names selected by camera manufactures,
including Saticon, Newvicon, Plumbicon, Trinicon, Univicon, Viconf, and
Vidicon. Unless the camera manufacturer
has its own picture tube manufacturing division, it is quite likely that the
various camera tube types are supplied by the same source.
CAMERA OPTICS
As
in motion picture film cameras, the optics represent the most important part of
the camera and this includes the lens or the lens system and the viewfinder.
FOCAL LENGTH
In a film camera focal
length is the distance from the optical center of the lens to the film. In a video camera it is the distance between
the optical center of the lens and the target area of the picture tube. A short focal length means light inside the
camera, whether film or video, has a shorter distance to travel, and so less
light is lost, hence the attractiveness of keeping the focal length as short as
possible. Focal length is measured in
millimeters (mm) and is supplied as a range.
OPERATING POWER
The
operating power requirements of a video camera are approximately 6 to 8.5 watts
DC. This doesn’t sound like much and it
is not if the camera is being used indoors and is connected to an outlet
supplying 230 volts AC, changed to 12 volts DC by a converter. But it is another matter if the camera is
being operated outdoors and must rely on batteries for power. Under such conditions a camera having the
smallest power requirement would be the most desirable one if this were the
only feature being considered.
The video camera used in our
project work is arranged over a revolving disk, naturally 12V battery pack must
be provided over the disk to drive the camera.
LENSES
There are two types of
lenses: fixed and adjustable. A fixed
lens is so-named since its focal length cannot be changed. This is the type of lens used on inexpensive
film cameras. Its angle of view is
constant and if you want to get closer to a scene or farther away, you can only
do so by moving the camera, probably by walking with it.
ZOOM LENS
The zoom lens is an
adjustable type. Since its focal length
is variable you can use this lens to make the angle of view wider or narrower,
with in the limits of the lens. This
means you can make a scene seem to come closer or farther away without moving
the camera physically but just by making a lens adjustment.
However, the fact that a
lens is a zoom type does not automatically make it a better quality lens. Nor is the focal length determined by
whether the camera is color or monochrome.
Thus you might get a black-and-white camera having a zoom lens with a
greater focal length range than a color camera.
FOCUSING.
The
purpose of focusing is to get as clear and sharp an image as possible. In focusing the lens is adjusted for the
best image clarity. The region behind
and in front of the subject that is also in focus is called depth of focus or
field of focus.
Focusing
can be done manually, semi automatically, and completely automatically. There is also a type of focusing, known as
macro focus, in which the subject is brought very close to the camera lens.
MANUAL FOCUS
Manual
focusing, also called mechanical focusing, is an arrangement in which a
focusing control, mounted on the camera can be rotated clockwise or counter
clockwise. It is supplied with
distances marked on the control, which is a ring positioned near the lens. With manual focusing it is necessary to
adjust the focusing ring to correspond to the distance from the subject to the
lens.
AUTO FOCUS
In the auto focus mode
simply point the camera at the subject and start shooting. The focus will be continuously adjusted as
the subject-to-camera distance changes, as long as the subject remains in the
center of the frame.
There are certain conditions
under which auto focus does not work well.
You may find it difficult to get proper focus with objects that reflect
strong light, such as glass or metal or objects made of black wool or black
velvet, or objects that coexist far and near.
For such shooting conditions set the focus auto/manual control to its
manual focusing position.
Auto focusing is easy and so
there is a natural tendency to rely on it and to let the camera do all the
work.
SEMI
AUTOMATIC FOCUSING
With this system the camera
focuses on the subject. But as the subject moves it is necessary to depress a
focusing button to refocus. This becomes a series of focusing steps.
LIGHTING
As a general rule as you
increase the amount to light on the subject being video graphed, the quality of
the picture recorded on the tape becomes better. This is not usually a problem outdoors,
except when shooting around nightfall.
In the home you may need floodlights, even with window shades pulled
up. It may sound like disadvantages to
need to use artificial lighting, but since you have control of the light,
something you do not have outdoors, you can get some dramatic and unusual
effects.
You will need to experiment
with lighting and you may find it helpful to buy floodlights and reflectors
similar to those used in photography consider also that lighting is often best
when done from front and rear. And a
caution: never point your camera directly at the light since this could damage
the picture tube in the camera.
LUX
The lux is the international
system unit of illumination and equals one lumen per square meter. The plural of this word is luxes or luces,
but is commonly ignored. Thus, the singular
form, lux, is now used with all numbers, such as 1 lux, 50 lux, etc., this is
industry procedure and is followed in this report. The abbreviated symbol for lux is lx.
CAMERA SENSITIVITY
The sensitivity of a camera
is expressed in lux units and may be indicated in the cameras spec sheet. For a camera using an f1.5 lens the
sensitivity could 75 lux with the cameras sensitivity switch set in its high
position.
Sensitivity figures are
sometimes specified as a range. Thus a
camera could have sensitivity from 75 lux to 100,000-lux illumination. The camera could also have a high gain switch
to permit using the camera under low light conditions. The high gain switch can be activated to
prevent underexposure. Some cameras also
feature a back light control to be used when the overall brightness of the
scene would otherwise cause the subject to be underexposed.
CHAPTER - 9
DETAILS ABOUT STEPPER MOTOR
The motor consists of a rare earth
permanent magnet located
between the tops and bottoms half of the rotor stack. A series of laminations of high quality
electrical steel, each with 50 teeth on the circumference, encompass the
permanent magnet and create 50 natural different positions on the rotor.
The stator consists of a series of
laminations of high quality
electrical steel, each with 48 teeth on the inner circumference, held
with in an aluminum ring to provide mechanical rigidity and to prevent corrosion. The stator to allow
for optimum heat dissipation of heat locates the windings of the
motor. Three are two phases or windings
in a stepper motor.
STEPPER
MOTOR OPERATION:
Stepper motor operates on phase
switched dc power.
Basically two types of drives are used to operate stepper motors. In a bipolar drive, the direction of current flow
through the winding will be
controlled. In a uni-polar drive
the center tap of each winding is used and connected to the power source. Switching either end of winding to ground
then controls current flow. When
operated in this configuration, it is
referred to as four phase motor.
The motor shaft advances to in step of 1.8 degree (200 steps per
revolution) when a four step (full step
mode) input sequence is used and in steps of .9 degree (400 steps per revolution) when an eight
step (half step mode)input sequence is used.
The four step and eight step switching sequences are given in the motor
data sheets.
Holding
torque:
It is the maximum torque required to
change the motor shaft angle, when the stator windings are excited at the rated
voltage.
Detent
torque:
It is the torque required to change
the motor shaft position
without exciting the stator windings.
This helps to hold the motor shaft in position when the motor is not
energized.
If greater holding torque is required,
one or both motor windings can be energized with dc voltage when the motor is
not stepping.
RESONANCE:
Basically stepper motors have a
tendency to oscillate with each step.
The condition is most visible at speeds below one revolution per
second. A resonant condition can be observed
when the motor is operated at its natural frequency or at sub harmonics of the
frequency. System mechanics, inertia and friction determine the exact resonant
characteristics. Suddenly audio and
vibration level of the motor may increase or torque may drop. Some times the motor may loose synchronism
or it may reverse its direction. This
simplest method to avoid resonance is to start the motor at an instantaneous
speed above the resonant frequency and low enough to pull the load in to
synchronization. This technique is not
effective at low speeds.
MICRO
STEPPING:
Full step and half step systems suffer
like, rough operations at low speeds operating speeds that Cause the motor to
oscillate widely (usually between 0.5 and 1 rpm), and limited resolution. All these problems can be over come by
employing micro stepping drive systems.
Micro stepping systems utilize the same hybrid stepper motor (usually
200 full stepper revolution) and precise current control to position the motor
rotor at locations in between the normal full step positions. While full step or half step drives produce
coils current that are either “on” or “off”, micro stepping drives proportion
the current smoothly between the motor coils.
Instead of tuning one phase “off” and another “on” to produce motion micro stepping drives
slowly increase the current in one
phase while slowly decreasing the current in the other phase. If the phase
currents are held at intermediate values, the rotor maintains an intermediate
position. This position is very accurate and repeatable. The frequency of these currents determines
the rotor speed.
Micro stepping drives can smoothly
accelerate or decelerate through speeds that would cause resonance or position
loss in a conventional full step system.
The application of precise sinusoidal
currents causes the rotor to move smoothly from one pole of the motor to the
next without stopping or oscillating, micro stepping drives with resolutions of
125 micro steps per revolution
(125*200=25000 steps per revolution) are available. There are many applications where the
increased positional resolution of micro stepping is not needed, but the
acceleration and resonance control
provides smooth operation of the motor.
Typical speed ranges of micro stepping drives are greater than 500000:1.
SPEED CAPABILITY
Stepper motor can be operated from
vary speeds (.01 rpm) to high speeds (50 rpm).
The performance of a stepper motor depends to a great extent on the
control circuit used to drive the motor.
Only with an
appropriately designed control circuit, a stepper motor can be operated
at rates up to 10000 steps per second (300 rpm). The torque falls of at high speeds, so the
user has to carefully study the torque per speed characteristics of a motor
before using in an application. The
user must take in to account some factors before deciding on a stepper
motor. There is a relation ship between
speed per torque, motor inductance, supply voltage, and motor heat that makes
each parameter dependent on the other.
EFFECTS
OF MOTOR SUPPLY VOLTAGE:
Motor performance at mid range and
high range speeds (top speed and torque at high speed) can be improved by
increasing the voltage to the motor.
The motor will operate at a higher temperature when the voltage to the motor is increased,
so some means of cooling the motor may be necessary. More over, if a particular application
requires the motor to be
operated at low speeds only then it is convenient to operate at the lowest
possible voltage to avoid excessive heating.
EFFECTS OF MOTOR INDUCTANCE
For a given supply voltage, a low
inductance motor will give better performance at higher speed (top speed and
high-speed torque), but will operate at high temperatures.
This is because a low inductance motor
required more current then do a high inductance motor. High inductance motors produce higher maximum
torque and operate cooler, but their top speeds is limited and torque falls of
more rapidly as speed rises then with a low inductance motor. More over low inductance motor produce a
fairly flat speed per torque curve. For
a given supply voltage, the high inductance motor runs cooler than a low
inductance motor. For any given supply
voltage, the high inductance motor will run cooler than the low inductance
motor.
ADVANTAGES
Of STEPPER MOTOR:
1) Inherently
a digital device, number of pulses determine distance, frequency sets the
speed
2) Drift
free.
3) The
step angle error is very small and non-cumulative.
4) Rapid
response to starting, stopping and reversing.
5) Brush-less
design for reliability simplicity.
6) High
torque per package size.
7) Stable
at zero speed.
8) Holding
torque at stand still.
9) Can be
shelled repeatedly and in-definitely without damage.
10) No
extra feed back components required.
11)
Bi-directional operation.
TYPICAL
APPLICATION Of STEPPER MOTORS:
The broad
capabilities of stepper motors have made them the electrical actuator of choice in
many fields of automation applications range from machines and equipment
requiring very delicate motion control to a broad spectrum of automation
categories including pick and place
machines, cut to length machines, valve control, machine-tool applications for metal curing
and transfer of lines for automobile factories.
TYPICAL
APPLICATIONS:
1) Silicon
crystal growing.
2) Packing
systems.
3) Cut to
length of wire, cables, metals plastic.
4) Sheet
metal fabrication.
5) Laser
positioning.
6) Office
peripheral equipment
7) Grinding.
8) Metal
punching.
9) Rotary
tables.
10) X-Y tables.
11) Welding.
CHAPTER – 10
DETAILS
ABOUT WIRELESS COMMUNICATION
Model of a communication system:
The overall purpose of the
communication system is to transfer information from one point to in space and
time, called the source to another point, the user destination. As a rule, the message produced by a source is
not electrical. Hence an input
transducer is required for converting the message to a time varying electrical
quantity called a message signal. At the
destination point another transducer converts the electrical waveform to the
appropriate message.
The information source and the destination
point are usually separated in space. The channel provides the electrical
connection between the information source and the user. The channel can have many deferent forms such
as a microwave radio link over free space a pair of wires, or an optical
fiber. Regardless of its type the
channel degrades the transmitted single in a number of ways. The degradation is
a result of signal distortion due to imperfect response of the channel and due
to undesirable electrical signals (noise) and interference. Noise and signal
distortion are two basic problems of electrical communication. The transmitter and the receiver in a
communication system are carefully designed to avoid signal distortion and
minimize the effects of noise at the receiver so that a faithful reproduction
of the message emitted by the source is possible.
The transmitter couples the input message
signal to the channel. While it may sometimes be possible to couple the input
transducer directly to the channel, it is often necessary to process and modify the input signal for efficient
transmission over the channel. Signal processing operations performed by the
transmitter include amplification, filtering, and modulation. The most
important of these operations is modulation a process designed to match the
properties of the transmitted signal to the channel through the use of a
carrier wave.
Modulation
is the systematic variation of some attribute of a carrier waveform such as the
amplitude, phase, or frequency in accordance with a function of the message
signal. Despite the multitude of modulation techniques, it is possible to
identify two basic types of modulation: the continuous carrier wave (CW)
modulation and the pulse nodulation. In continuous wave (CW) carrier modulation
the carrier waveform is continuous (usually a sinusoidal waveform), and a
parameter of the waveform is changed in proportion to the message signal. In
pulse modulation the carrier waveform is a pulse waveform (often a rectangular
pulse waveform), and a parameter of the pulse waveform is changed in proportion
to the message signal. In both cases the carrier attribute can be changed in
continuous or discrete fashion. Discrete pulse (digital) modulation is a
discrete process and is best suited for messages that are discrete in nature
such as the output of a teletypewriter. However, with the aid of sampling and
quantization, continuously varying (analog) message signal can be transmitted
using digital modulation techniques.
Modulation
is used in communication systems for matching signal characteristics to channel
characteristics, for reducing noise and interference, for simultaneously
transmitting several signals over a single channel, and for overcoming some
equipment limitations. A considerable portion of this article is devoted to the
study of how modulation schemes are designed to achieve the above tasks. The
success of a communication system depends to a large extent on the modulation.
The main function of the receiver is extract the input
message signal from the degraded version of the transmitted signal coming from
the channel. The receiver performs this function through the process of
demodulation, the reverse of the transmitter’s modulation process. Because of
the presence of noise and other signal degradations, the receiver cannot
recover the message signal perfectly. Ways of approaching ideal recovery will
be discussed later. In addition to demodulation, the receiver usually provides
amplification and filtering.
Based
on the type of modulation scheme used and the nature of the output of the
information source, we can divide communication systems into three categories:
1.analog communication systems designed to
transmit analog information using analog modulation methods
2. digital communication systems designed for
transmitting digital information using digital modulation schemes and
3. hybrid systems that use digital modulation
schemes for transmitting sampled and quantized values of an analog message
signal.
Other ways of categorizing communication
systems include the classification based on the frequency of the carrier and
the nature or the communication channel
With this brief description of a general model
of a communication system, we will now take a detailed look at various
components that make up a typical communication system using the digital
communication system as an example. We will enumerate the important parameter
of each functional block in a digital communication system and point out some
of the limitations of the capabilities of various blocks.
ELEMENTS OF A DIGITAL COMMUNICATION SYSTEM
The overall purpose of the system is to transmit the
messages (or sequences of symbols) coming out of a source to a destination
point at as high a rate and accuracy as possible. The source and the
destination point are physically separated in space and a communication channel
of some sort connects the source to the destination point. The channel accepts
electrical/electromagnetic signals, and the output of the channel is usually a
smeared or distorted version of the input due to the non-ideal nature of the communication
channel. In addition to the smearing, the information-bearing signal is also
corrupted by unpredictable electrical signals (noise) from both man-made and
natural causes. The smearing and noise introduce errors in the information
being transmitted and limits the rate at which information can be communicated
from the source to the destination. The probability of incorrectly decoding a
message symbol at the receiver is often used as a measure of performance of
digital communication system. The main function of the coder, the modulator,
the demodulator, and the decoder is to combat the degrading effects of the
channel on the signal and maximized the information rate and accuracy.
Information source
Information sources can be classified into two categories
based on the nature of their outputs: Analog information sources, and discrete
information sources. Analog information
sources, such as a microphone actuated by speech, or a TV camera scanning a
scene, emit one or more continuous amplitude signals (or functions of time).
The output of discrete information sources such as a teletype or the numerical
output of a computer consists of a sequence of discrete symbols or letters. An
analog information source can be transformed onto a discrete information source
through the process of sampling and quantizing. Discrete information sources
ate characterized by the following parameters:
1.
Source
alphabet (symbols or letters)
2.
Symbol
rate
3.
Source
alphabet probabilities
4.
Probabilistic
dependence of symbols in a sequence
From these parameters, we can
construct a probabilistic model of the information source and define the source
entropy (H) and source information rate (R) in bits per symbol and bits per
second, respectively.(the term bid is used to denote a binary digit.)
To
develop a feel for what these quantities represent, let us consider a discrete
information source-a teletype having 26 letters of the English alphabet plus
six special characters. The source alphabet for this example consists of 32
symbols. The symbol rate refers to the rate at which the teletype produces
characters: for purposes of discussion, let us assume that the teletype
operates at a speed of 10 characters or 10 symbols/sec. If the teletype is
producing messages consisting of symbol sequences in the English language, then
we know that some letters will appear more often than others. We also know that
the occurrence of a particular letter in a sequence is somewhat dependent on
the letters preceding it. For example, the letter E will occur more often than
letter Q and the occurrence of Q implies that the next letter in the sequence
will most probably be the letter U, and so forth. These structural properties
of symbol sequences can be characterized by probabilities of occurrence of
individual symbols by the conditional probabilities of occurrence of symbols.
An
important parameter of a discrete source is its entropy. The entropy of a
source, denoted by H, refers to the average information content per symbol in a
long message and is given units of bits
for symbol where bit is used as an abbreviation for a binary digit. In our
example, if we assume that all symbols occur with equal probabilities in a
statistically independent sequence, then the source entropy is five bits per
symbols. However, the probabilistic dependence of symbols in a sequence, and
the unequal probabilities of occurrence of symbols considerably reduce the
average information content of the symbols. naturally we can justify the
previous statement by convincing ourselves that in a symbol sequence QUE, the
letter U carries little or no information because the occurrence of Q implies
that the next letter in the sequence has to be a U.
The
source information rate is defined as the product of the source entropy and the
symbol rate and has the units of bits per second. The information rate, denoted
by R, represents the minimum number of bits per second that will be needed, on
the average, to represent the information coming out of the discrete source.
Alternately, R represents the Minimum average data rate needed to convey the
information from the source to the destination.
Source
Encoder/Decoder
The
input to the source encoder (also referred to as the source coder) is a string
of symbols occurring at a rate of rs symbols/sec. The source coder
converts the symbol sequence into a binary sequence of 0’s and 1’s by assigning
code words to the symbols in input sequence. The simplest way in which a source
coder can perform this operation is to assign a fixed-length binary code word
to each symbol in the input sequence. For the teletype example we have been
discussing, this can be done by assigning 5-bit code world 00000 through 11111
for the 32 symbols in the source alphabet and replacing each symbol in the
input sequence by its pre-assigned code word.
With a symbol rate of 10 symbols/sec, the source coder output data rate will be 50 bits/sec.
Fixed-length coding of individual
symbols in a source output is efficient only if the symbols occur with equal
probabilities in a statistically independent sequence. In most practical
situation symbols in a sequence are statistically dependent, and they occur
with unequal probabilities. In these situations the source coder takes a string
of two or more symbols as a block and assigns variable-length code words to
these block. The optimum source coder is designed to produce an output data
rate approaching R, the source information rate. Due to practical constraints,
the actual output rate of source encoders will be greater than the source
information rate R. the important parameters of a source coder are black size,
code word lengths, average data rate, and the efficiency of the coder (i.e.,
actual output data rate compared to the minimum achievable rate R).
At
the receiver the source decoder converts the binary output of the channel
decoder into a symbol sequence. The decoder for a system using fixed-length
code words is quite simple, but the decoder for a system using variable-length
code words will be very complex. Decoders for such systems must be able to cope
with a number of problems such as growing memory requirement and loss of
synchronization due to bit errors.
Communication Channel
The Communication channel provides the
electrical connection between the source and the destination. The channel may
be a pair of wires or a telephone link or free space over which the information
bearing signal is radiated. Due to physical limitations, communication channels
have only finite bandwidth (B HZ), and the information bearing signal often
suffers amplitude and phase distortion as it travels over the channel. In
addition to the distortion, the signal power also decreases due to the
attenuation of the channel. Furthermore, the signal is corrupted by unwanted,
unpredictable electrical signals referred to as noise. While some of the
degrading effects of the of the channel can be removed or compensated for, the
effects of noise cannot be completely removed. From this point of view, the
primary objective of a communication system design should be to suppress the
bad effects of the noise as much as possible.
One
of the ways in which the effects of noise can be minimized is to increase the
signal power. However, signal power cannot be increased beyond certain levels
because of nonlinear effects that become dominant as the signal amplitude is
increased. For this reason the signal-to-noise power ratio (S/N ), which can be
maintained at the output of a communication channel, is an important parameter
of the system. Other important parameters of the channel are the usable
bandwidth (B), amplitude an phase response, and the statistical properties of
the noise.
If the parameters of a communication channel
are known, then we can compute the channel capacity C, which represents the
maximum rate at which nearly errorless data transmission is theoretically
possible. For certain types of
communication channels it has been shown that c is equal to B log2
(1+S/N) bits/sec. The channel capacity
C has to be greater than the average information rate R of the source for
errorless transmission. The capacity c
represents a theoretical limit, and the practical usable data rate will be much
smaller than C. as an example, for a
typical telephone link with a usable bandwidth of 3KHz and S/N = 103,
the channel capacity is approximately 30,000 bits/sec. At the present time, the actual data rate on
such channels ranges from 150 to 9600 bits/sec.
Modulator
The
modulator accepts a bit stream as its input and converts it to an electrical
waveform suitable for transmission over the communication channel. Modulation is one of the most powerful tools
in the hands of a communication systems designer. It can be effectively used to minimize the
effects of channel noise, to match the frequency spectrum of the transmitted
signal with channel characteristics, to provide the capability to multiplex
many signals, and to overcome some equipment limitations.
The important parameters of the
modulator are the types of waveforms used, the duration of the waveforms, the
power level, and the bandwidth used.
The modulator accomplishes the task of minimizing the effects of channel
noise by the use of large signal power and bandwidth, and by the use of
waveforms that last for longer durations.
While the use of increasingly large amounts of signal power and
bandwidth to combat the effects of noise is an obvious method, these parameters
cannot be increased indefinitely because of equipment and channel
limitations. The use of waveforms of
longer time duration to minimize the effects of channel noise is based on the
well-known statistical law of large numbers.
The law of large numbers states that while the outcome of a single
random experiment may fluctuate wildly, the overall result of many repetitions
of a random experiment can be predicted accurately. In data communications, this principle can
be used to advantage by making the duration of signaling waveforms long. By averaging over longer durations of time,
the effects of noise can be minimized.
To illustrate the above principle, assume that
the input to the modulator consists of 0’s and 1’s occurring at a rate of 1
bit/sec. The modulator can assign waveforms once every second. Notice that the
information contained in the input bit is now contained in the frequency of the
output waveform. To employ waveforms of longer duration, the modulator can
assign waveforms once every four seconds. The number of distinct waveforms the
modulator has to generate (hence the number of waveforms the demodulator has to
detect) increases exponentially as the duration of the waveforms increases.
This leads to an increase in equipment complexity and hence the duration cannot
be increased indefinitely. The number of waveforms used in commercial digital
modulators available at the present time ranges from 2 to 16.
Demodulator
Modulation is a reversible process,
and the demodulator accomplishes the extraction of the message from the
information bearing waveform produced by the modulator. For a given type of
modulation, the most important parameter of the demodulator is the method of
demodulation. There are a variety of techniques available for demodulating a
given modulated waveform: the actual procedure used determines the equipment
complexity needed and the accuracy of demodulation. Given the type and duration
of waveforms used by the modulator, the power level at the modulator, he
physical and noise characteristics of the channel, and the type of
demodulation, we can derive unique relationship between data rate, power
bandwidth requirements, and the probability of incorrectly decoding a message
bit. A considerable portion of this text is devoted to the derivation of these
important relationships and their use in system design.
Channel Encoder/Decoder
Digital channel coding is a practical method of realizing
high transmission reliability and efficiency that otherwise may be achieved
only by the use of signals of longer duration in the modulation/demodulation
process. With digital coding, a relatively a small set of analog signals, often
two, is selected for transmission over the channel and the demodulator has the
conceptually simple task of distinguishing between two different waveforms of
known shapes. The channel coding
operation that consists of systematically adding extra bits to the output of
the source coder accomplishes error control. While these extra bits themselves
convey no information, they make it possible for the receiver to detect and/or
correct some of the errors in the information bearing bits.
There are two methods of performing the channel
coding operation. In the first method, called the block coding method, the
encoder takes a block of k information bits from the source encoder and adds r
error control bits. The number of error control bits added will depend on the
value of k and the error control capabilities desired. In the second method, called the
convolutional coding method, the information bearing message stream is encoded
in a continuous fashion by continuously interleaving information bits and error
control bits. Both methods require
storage and processing of binary data at the encoder and decoder. While this
requirement was a limiting factor in the early days of data communication, it
is no longer such a problem because of the availability of solid-state memory
and microprocessor devices at reasonable prices.
The important parameters of a channel encoder
are the method of coding. Rate or efficiency of the coder (as measured by the
ratio of data rate at input to the data rate at the output), error controls
capabilities, and complexity of the encoder.
The channel decoder recovers the information
bearing bits from the coded binary stream. The channel decoder also performs
error detection and possible correction. The decoder operates either in a block
mode or in a continuous sequential mode depending on the type of coding used in
the system. The complexity of the decoder and the time delay involved in the
decoder are important design parameter.
Wireless communication, as
the term implies, allows information to be exchanged between two devices
without the use of wire or cable. A wireless keyboard sends information to the
computer without the use of a keyboard cable; a cellular telephone sends information
to another telephone without the use of a telephone cable. Changing television
channels, opening and closing a garage door, and transferring a file from one
computer to another can all be accomplished using wireless technology. In all
such cases, information is being transmitted and received using electromagnetic
energy, also referred to as electromagnetic radiation. One of the most familiar
sources of electromagnetic radiation is the sun; other common sources include
TV and radio signals, light bulbs and microwaves. To provide background
information in understanding wireless technology, the electromagnetic spectrum
is first presented and some basic terminology defined.
CHAPTER – 11
SOFTWARE DETAILS
pk1 bit 01h
pk2 bit 02h
ONOFF BIT 03H
MOVFOR BIT 04H
STEP_CNTL
DATA 30H
STEP_CNTR
DATA 31H
LAST_POS
DATA 32H
INT_DLY1
DATA 33H
INT_DLY2
DATA 34H
STEP_CNTL1
DATA 35H
STEP_CNTR1
DATA 36H
COUNT DATA 37H
COUNT1 DATA 38H
ORG 0000H
ljmp RESET
ORG 000BH
push ACC
push PSW
lcall WHEEL_LEFT
pop PSW
pop ACC
reti
ORG 001BH
push ACC
push PSW
lcall WHEEL_RIGHT
pop PSW
pop ACC
reti
RESET:
mov P1, #0FFH
mov p2,#00h
mov P3, #0ffH
mov SP, #60H
mov STEP_CNTL, #00h
mov STEP_CNTR, #00h
mov STEP_CNTL1, #00h
mov STEP_CNTR1, #00h
MOV COUNT,#00H
MOV COUNT1,#00H
mov TMOD, #11H
mov IE, #8AH
mov TH0, #7FH
mov TL0, #7FH
mov TH1, #7FH
mov TL1, #7FH
CLR ONOFF
CLR PK1
CLR PK2
clr MOVFOR
setb TR0
setb TR1
MAIN: mov a,p1
anl a,#0fh
cjne a,#05h,run
go: CLR MOVFOR
CLR PK1
CLR PK2
SETB ONOFF
LCALL DDELAY
CLR ONOFF
SETB PK1
CLR PK2
LCALL DDELAY
ljmp main
RUN: cjne
a,#06h,run1
CLR ONOFF
CLR MOVFOR
CLR PK2
SETB PK1
ljmp main
RUN1: cjne
a,#03h,run2
CLR ONOFF
CLR MOVFOR
SETB PK2
CLR PK1
LJMP MAIN
RUN2: cjne
a,#0fh,run3
CLR MOVFOR
CLR PK1
CLR PK2
SETB ONOFF
LCALL DDELAY
CLR ONOFF
SETB PK2
CLR PK1
LCALL
DDELAY
ljmp main
run3: cjne
a,#07h,run4
SETB MOVFOR
CLR PK1
CLR PK2
CLR ONOFF
ljmp main
run4: cjne
a,#00h,run5
ljmp go
run5: cjne
a,#01h,run6
ljmp go
run6: cjne
a,#04h,run7
ljmp go
run7: LJMP MAIN
WHEEL_LEFT:JB ONOFF,TOP
JB
MOVFOR,TOP3
ret
TOP: JNB ONOFF,NOTCH21
inc COUNT
mov A, COUNT
cjne A, #3FH, NOTCH21
mov COUNT, #00H
MOV DPTR,#0800H
mov A, STEP_CNTL1
movc A, @A+dptr
mov P2,A
inc STEP_CNTL1
mov A, STEP_CNTL1
cjne A, #08h, NOTCH21
mov STEP_CNTL1, #00h
NOTCH21:
RET
TOP3: JNB
MOVFOR,NOTCH311
inc COUNT1
mov A, COUNT1
cjne A, #3FH, NOTCH311
mov COUNT1, #00H
MOV DPTR,#0800H
mov A, STEP_CNTR1
add A, #08H
movc A, @A+dptr
mov P2,A
inc STEP_CNTR1
mov A, STEP_CNTR1
add A, #08H
cjne A, #10h, NOTCH311
mov STEP_CNTR1, #00h
NOTCH311:
RET
WHEEL_RIGHT:jb pk1,run21
jb
pk2,run11
ret
run21: jnb pk1, STOP_FORW
inc INT_DLY2
mov A, INT_DLY2
cjne A, #3FH, SKIP_INT0
mov INT_DLY2, #00H
MOV DPTR,#0400H
mov A, STEP_CNTL
movc A, @A+dptr
mov P2,A
inc STEP_CNTL
mov A, STEP_CNTL
cjne A, #08h, NOTCH2
mov STEP_CNTL, #00h
NOTCH2:
ljmp SKIP_INT0
STOP_FORW:
SKIP_INT0:
ret
run11: jnb pk2, STOP_REVW
inc INT_DLY1
mov A, INT_DLY1
cjne A, #3FH, SKIP_INT1
mov INT_DLY1, #00H
MOV DPTR,#0400H
mov A, STEP_CNTR
add A, #08H
movc A, @A+dptr
mov P2,A
inc STEP_CNTR
mov A, STEP_CNTR
add A, #08H
cjne A, #10h, NOTCH3
mov STEP_CNTR, #00h
NOTCH3:
ljmp SKIP_INT1
STOP_REVW:
SKIP_INT1:
ret
ddelay: MOV R4,#70
Zz2: MOV R5,#70
Zz1: MOV R6,#70
DJNZ R6,$
DJNZ R5,Zz1
DJNZ R4,Zz2
RET
DELAY:
MOV
R4,#6FH
DJNZ R4,$
RET
ORG 0400H
STEP_M2:
db 9fh
db 5fh
db 6fh
db 0afh
db 9fh
db 5fh
db 6fh
db 0afh
STEP_M3:
db 0f9h
db 0f5h
db 0f6h
db 0fah
db 0f9h
db 0f5h
db 0f6h
db 0fah
ORG 0800H
STEP_M21:
db 0aah
db 66h
db 55h
db 99h
db 0aah
db 66h
db 55h
db 99h
STEP_M31:
db 99h
db 55h
db 66h
db 0aah
db 99h
db 55h
db 66h
db 0aah
END
CHAPTER – 12
FABRICATION DETAILS
The fabrication of one demonstration unit is carried out in
the following sequence:
1. Finalizing the total circuit diagram, listing out the
components and their sources of procurement.
2. Procuring the components, testing the components and screening
the components.
3. Making layout, preparing the inter connection diagram as per
the circuit diagram, preparing the drilling details, cutting the laminate to
the required size.
4. Drilling the holes on the board as per the component layout,
painting the tracks on the board as per inter connection diagram.
5. Etching the board to remove the un-wanted copper other than
track portion. Then cleaning the board
with water, and solder coating the copper tracks to protect the tracks from
rusting or oxidation due to moisture.
6. Assembling the components as per the component layout and
circuit diagram and soldering components.
7. Integrating the total unit inter wiring the unit and final
testing the unit.
8. Keeping the unit ready for demonstration.
PCB FABRICATION
DETAILS:
The Basic raw material
in the manufacture of PCB is copper cladded laminate. The laminate consists of two or more layers
insulating reinforced materials bonded together under heat and pressure by
thermo setting resins used are phenolic or epoxy. The reinforced materials used are electrical
grade paper or woven glass cloth. The laminates are manufactured by
impregnating thin sheets of reinforced materials (woven glass cloth or electrical
grade paper) with the required resin (Phenolic or epoxy). The laminates are divided into various grades
by National Electrical Manufacturers association (NEMA). The nominal overall thickness of laminate
normally used in PCB industry is 1.6mm with copper cladding on one or two
sides. The copper foil thickness is 35
Microns (0.035mm) OR 70 Microns (0.070 mm).
The
next stage in PCB fabrication is artwork preparation. The artwork (Mater drawing) is essentially a
manufacturing tool used in the fabrication of PCB’s. It defines the pattern to be generated on the
board. Since the artwork is the first of
many process steps in the Fabrication of PCBs.
It must be very accurately drawn.
The accuracy of the finished board depends on the accuracy of
artwork. Normally, in industrial
applications the artwork is drawn on an enlarged scale and photographically
reduced to required size. It is not only
easy to draw the enlarged dimensions but also the errors in the artwork
correspondingly get reduced during photo reduction. For ordinary application of simple single
sided boards artwork is made on ivory art paper using drafting aids. After taping on a art paper and phototraphy
(Making the –ve) the image of the photo given is transformed on silk screen for
screen printing. After drying the paint,
the etching process is carried out. This
is done after drilling of the holes on the laminate as per the components
layout. The etching is the process of
chemically removing un-wanted copper from the board.
The
next stage after PCB fabrication is solder masking the board to prevent the
tracks from corrosion and rust formation. Then the components will be assembled
on the board as per the component layout.
The next stage after assembling is the
soldering the components. The soldering
may be defined as process where in joining between metal parts is produced by
heating to suitable temperatures using non-ferrous filler metals has melting
temperatures below the melting temperatures of the metals to be joined. This non-ferrous intermediate metal is called
solder. The solders are the alloys of lead
and tin.
CONCLUSIONS
This project
effectively deals with the detection of anti-social elements, study of animal
life and probing of mineral wealth.
Since it is a prototype module we have come with enough accomplishments,
which will accrue in the long run. With
enough funding there is much scope for R&D work and we can overcome the
shortcomings. For example using a satellite enabled GPS system we can exactly
know the location of the vehicle. We can
even incorporate automatic triggering of bombs and bullets on the antisocial
elements before they destroy the vehicle.
Since it is battery operated we can utilize the solar charging.
However we hope that
this module will definitely paves way to the new explorations in the scientific
world.
REFERENCES:
The
following are the references made during design, development and fabrication of
the project work “Autonomous Search Vehicle using Wireless Video Camera”
(1). Basic
electronics By:
GROB
(2). Mechatronics – Electronic Control Systems in Mechanical and
electrical Engineering – By: W. Bolton
(3)
Electronic Circuit guide book – Sensors – By JOSEPH J.CARR
(4) The 8051
Micro-controller Architecture, programming & Applications
By: Kenneth J. Ayala
(5)
Mechanism and Machine Theory By: J.S.
Rao, R.V. Dukkipati
(6)
Practical transistor circuit design and analysis
By:
GERALD E. WILLIAMS
(7).
Robotic Engineering An Integrated
Approach
By: Richard D. Klafter, Thomas
A. Chmiclewski, Michael Negin
(8) Programming and
Customizing the 8051 Micro-controller By: Myke Predko
(9) The concepts and Features of
Micro-controllers - By: Raj Kamal
(10) Digital and Analog Communication System By: K. sam
Shanmugam
(11) Digital Electronics. By JOSEPH J.CARR
(12).
Electronics for you Monthly Magazine
(13).
Practical Electronics “ “
(14).
Elector India “ “
In addition to the above books,
most of the information collected from the Internet. The following are the
references.
[Arki99]
“Behavior-Based Robotics,” Arkin, R., ISBN 0-262-01165-4 ,
MIT
Press, 1999.
BySi98] Byrne, J.,Singh, S., ”Precise
Image Segmentation for Forest Inventory,” CMU-RI-TR-98-14, Carnegie Mellon
University,1998.
[Clar99], Clark, S.,”Autonomous Land
Vehicle Navigation Using Millimetre Wave Radar,” Ph.D. thesis, The University
of Sydney January, 1999.
[ChAl93]
Chatila, R., Alami, R., Lacroix, S., Perret, J., Proust, C., “Planet
Exploration by Robots: From Mission Planning to Autonomous Navigation,” In
Proc. Intl. Conf. Advanced Robotics, pp. 91-96, Tokyo, Japan, November 1993.
[ChIb99] Cherif, M.,
Ibanez-Guzman, J., Laugier, C. , Goh, T., "Motion Planning for an
All-Terrain Autonomous Vehicle," Int. Conf. on Field and Service Robotics,
Pittsburgh, PA, USA, August, 1999.
[ChLa95] Cherif, M.,
Laugier, C., ”Motion Planning of Autonomous Off- Road Vehicles Under Physical
Interaction Constraints,'' IEEE Int. Conf. on Robotics and Automation (ICRA),
pp. 1687-1693, Nagoya, Japan, 1995.
[DrSa01] Driankov, D.,
Saffiotti, A. (Eds), “Fuzzy Logic Techniques for “Autonomous Vehicle
Navigation,” Springer-Verlag [DuJe00]
Dudek, G., Jenkin, M., “Computational Principles of Mobile Robotics,” Cambridge
University Press, 2000, p69.
[Durr91] Durrant-Whyte, H.,
“An autonomous Guided Vehicle for Cargo handling,” International Journal of
Robotics Research, 15(5) pages 407-440, 1991.
[HeKr93] Hebert, M.
Krotkov, E. “3-D Measurements from Imaging
Laser Radars. Intl. J.
Image and Vision Computing,” 10(3):170-178,
April 1992. Antibes,
France, September 1993.·
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