SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18

RESEARCH ARTICLE

www.ijera.com

OPEN ACCESS

Crack Sensing Scheme in Rail Tracking System
Ch. Muneendra Rao, B. R. Bala Jaswanth
M. Tech Student Gudlavalleru Engineering College
Assistant Professor Gudlavalleru Engineering College
ABSTRACT
A major share to the Indian economy is contributed by the commercial transport railway network. So, any
problems of crack detection in railway network when encountered, may be dealt with a robust and cost effective
solution, else, there may be a proportionate decrease in the nations economy. This paper attempts to provide a
viable solution by discussing the technical details and design aspects. The discussion continues with the
explanation of different criteria involved in choosing simple components like GPS module,PC,IR-photo diode
based crack detector module, modeled for effective implementation in India.
Keywords:- Railway cracks, Robot, PC, LPC 2148,IR-Photo diode assembly.

I.

INTRODUCTION

After US,RUSSIA and CHINA ranking four
in its place. The Indian railway network stretches
across the globe with a length of 113,617 kilometers
(70,598 mi).over a route of 63,974 kilometers (39,752
mi) covering 7,083 stations. The network traverses
every nook and cranny of the nation carries over 30
million passengers and 2.8 million tons of freight daily.
It is a growing network with a rapid pace catering the
economic needs of our nation with impressive
statistics, yet, the associated infrastructural facilities of
safety have not been with the prior mention
proliferation. Relevant to the international standards,
the facilities are inadequate. Because of derailment
problem often resulting in damage to human lives and
property. The survey in 2011 until the month of July
comments that the frequency of accidents is going and
in that year itself 11 accidents occurred. To explain the
crux of the problem, the accidents in railways are due
to 60% derailments and 90% crack problems.
Irrespective of natural or anti social reasons.
Hence, this problem of cracks on railways
became a crucial problem. Which has to be dealt with
paramount importance and attention, as the frequency
of usage of Indian railways is high. This problem of
cracks which is in major proportion, contributes for
major train accidents will go unnoticed. Because of
irregularity in manual track line monitoring and
maintenance. So, to avoid this drastic condition of
Indian railway networks from stopping down still
more, an automated system which do not rely upon the
manual labour is brought into light.
Owing to the crucial repercussions of this
problem, this paper presents an implementation of an
efficient and cost effective solution suitable for large
scale application. With the advent of powerful digital
signal processors, Image Processing techniques [1]
have been explored to formulate solutions to the
www.ijera.com

problem of railway crack detection. Though it provides
good accuracy, this method uses techniques like image
segmentation. The usage of microwave antennas in
crack detection [2] in investigated in research. Another
important technique for crack detection is infrared
sensing ([3],[4]) which seemed to more suitable but
later it became inaccurate.
Other techniques based on ultra sonics [5] also
contributed to the detection scheme but they can
investigate the crux of the track rather than checking
for surface cracks and the surfaces where faults are
located. Several other methodologies ([6],[7],[8]) and
techniques like observation and analysis of the wave.
Propagation involving model impacts and piezo
actuation came into light but the approaches are
expensive. The problem inherent in all these techniques
is that the cost incurred is high. Hence this paper
proposes a cheap, novel yet simple scheme with
sufficient ruggedness suitable to the Indian scenario
that uses an IR-Photo diode arrangement to detect the
crack in railway lines, which proves to be cost effective
as compared to the existing methods.
The important role played by transport in the
development of an economy has been studied. In
addition, statistics of the number of rail accidents and
their corresponding causes have also been studied. This
paper is organized as follows: Section II discusses the
design issues; Section III discusses the Existing
system, Section IV discusses Proposed Scheme using
an IR-Photo diode arrangement. Section V elaborates
on the electrical design and Section VI explains the
mechanical
design.
Section
VII
explains
implementation of algorithm, Section VIII provides the
results of implementation and Section IX provides the
conclusion.

13 | P a g e
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18
II.

DESIGN ISSUES INHERENT TO
INDIAN SCENARIO

Typically, the Indian railways have small gaps
in them for thermal expansion in summer. The
designing of the tracks is in such a way that there will
not be any twists or cracks due to heat. When the
techniques developed before the proposed technique
came into light, it was found that the existing technique
took wrong signals by counting the thermal gaps as
cracks. There will be another problem regarding the
presence of railway bifurcations. If the physical or
mechanical design of the robot is unsuitable, then it
will be strucked in the bifurcations or it may fall out of
the tracks.
Actual design implementation of the prototype model in the field, faced a problem of presence of
debris on the outside of the railway tracks. The effects
of dirt on the robot wheels would also contributes to
the scenario making the circumstances more complex.
A literature survey on the existing techniques
for crack detection reveal a number of sophisticated
and accurate crack detection technologies.First, in the
Indian rails, typically there are small gaps in the rail
tracks to provide for thermal expansion during the
summer. This design is provided so as to ensure that
the track does not twist or crack due to the heat.
When the existing technique of crack
detection was implemented, it was found that the
system was giving false positive signals; that is, it was
counting the thermal gaps as cracks. Another issue
faced during practical implementation is the presence
of railway bifurcations. If the mechanical design of the
robot is unsuitable, then it will have a tendency to
either get stuck in these bifurcations or in worst case
even fall out of the tracks. During the designing of
prototype for actual on-field implementation, the
problem of presence of debris on the outsides of the
tracks was encountered. Though this problem seemed
trivial, the effects of dirt on our robot wheels could
have been substantial. In addition, as the proposed
design utilized a IR-Photo diode based design, the
ambient light intensity variations imposed extreme
challenges to our design concept.

III.

PROPOSED SYSTEM

The core of the proposed crack detection
scheme consists of a IR-Photo diode assembly that
functions as the rail crack detector. The principle
involved in crack detection is the concept of photo
diode. In the proposed design, the IR will be attached
to one side of the rails and the photo diode to the
www.ijera.com

opposite side. During normal operation, when there are
no cracks, the IR light does not fall on the photo diode
and hence the photo diode resistance is high.
Subsequently, when the IR light falls on the photo
diode, the resistance of the photo diode gets reduced
and the amount of reduction will be approximately
proportional to the intensity of the incident light.
Therefore, when light from the IR deviates from its
path due to the presence of a crack or a break, a sudden
decrease in the resistance value of the photo diode
ensues. This change in resistance indicates the presence
of a crack or some other similar structural defect in the
rails.
In order to detect the current location of the
device in case of detection of a crack, a GPS receiver
whose function is to receive the current latitude and
longitude data is used. To communicate the received
information, a PC has been utilized. The function of the
PC being used is to upload the current latitude and
longitude data to the relevant authority. The
aforementioned functionality has been achieved by
interfacing the PC, GPS module and IR-Photo diode
arrangement with a microcontroller. DC motors drive
the robot and relays were used to control the motors.

EXISTING SYSTEM

The finding of cracks in railways tracks takes
time consumption due to manual checking. It reduces
the accuracy too. This method of design is having
limited intelligence and time consuming.

IV.

www.ijera.com

Fig.1: Block Diagram
The various components in the block
diagram are mentioned below:
1. LPC2148 Microcontroller
2. Power Supply
3. Crystal Oscillator
4. Reset
5. 16x2 Liquid Crystal Display(LCD)
6. MAX 232
14 | P a g e
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18
7. Multiplexer
8. PC
9. GPS Module
V.

www.ijera.com

D. Reset
Control reset is to execute the entire
program cycle from beginning.

ELECTRICAL DESIGN

A.

Microcontroller Unit
The LPC2119/2129/2194/2292/2294
are
based on a 16/32 bit ARM7TDMI-STM CPU with
real-time emulation and embedded trace support,
together with 128/256 kilobytes (kB) of embedded high
speed flash memory. A 128-bit wide internal memory
interface and a unique accelerator architecture enable
32-bit code execution at maximum clock rate. For
critical code size applications, the alternative 16-bit
Thumb Mode reduces code by more than 30% with
minimal performance penalty.
Features of the microcontroller:
1. It is a 32-bit microcontroller.
2. 256K Bytes of In-System Programmable (ISP)
Flash Memory.
3. 4Kx 32-bit Internal RAM.
4. 46 Programmable I/O Lines.
5. Two 32-bit Timer/Counters.
6. On chip ADC and DAC.
7. 2 UART Serial Channels.
Power Supply
The input to the circuit is applied from the
regulated power supply. The microcontroller voltage
is of 5V. The A.C. input i.e., 230V from the mains
supply is step down by
the transformer to 12V
and is fed to a rectifier.
The output obtained
from the rectifier is a pulsating D.C voltage. So in
order to get a pure D.C voltage, the output voltage
from the rectifier is fed to a filter to remove any
A.C components present even after rectification. Now,
this voltage is given to a voltage regulator to obtain a
pure constant dc voltage. We are using an IC 7805 as
voltage regulator to get a 5V output Voltage.

F.

MAX232
The microcontroller can communicate
with the serial devices using its single serial port.
The logic levels at which this serial port operates is
TTL logics. But some of the serial devices operate at
RS 232 logic levels. So in order to communicate
the microcontroller with modem, a mismatch
between the logic levels occurs. In order to
avoid this mismatch, in other words to match the
Logic levels, a serial driver is used.
A MAX232 is a serial line driver used to
establish communication between modem and
microcontroller. The interfacing of GSM modem with
microcontroller using MAX 232 as a serial line driver
is shown in Fig.3. The voltage levels of Max 232 are
given in Table 2.

RS232 Line Type
& Logic Level

RS232 Voltage

TTL Voltage
to/from MAX232

Data Transmission
(Rx/Tx) Logic 0

+3 V to +15 V

0V

Data Transmission
(Rx/Tx) Logic 1

-3 V to -15 V

5V

Control Signals
(RTS/CTS/DTR/
DSR) Logic 0

-3 V to -15 V

5V

Control Signals
(RTS/CTS/DTR/
DSR) Logic 1

+3 V to +15 V

0V

B.

C.

Crystal Oscillator
A crystal oscillator is an electronic
oscillator circuit that uses the mechanical resonance
of a vibrating crystal of piezoelectric material to
create an electrical signal with a very precise
frequency. This frequency is commonly used to keep
track of time (as in quartz wrist watches), to provide a
stable clock signal for digital integrated circuits, and
to stabilize frequencies for radio transmitters and
receivers. The most common type of piezoelectric
resonator used is the quartz crystal, so oscillator
circuits designed around them became known as
“crystal oscillators”. This block provides necessary
frequency sine wave to the micro controller. This
frequency is converted to square wave within the micro
controller.
www.ijera.com

Table 2: Voltage levels of Max 232
G.

Global Positioning System (GPS)
The Global Positioning System(GPS) is a
satellite based navigation system that sends and
15 | P a g e
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18
receives radio signals. A GPS receiver acquires
these signals and provides the user with
information. Using GPS technology one can
determine location, velocity and time, 24 hours a
day, in any weather conditions anywhere in the world
for free. GPS was formally known as the NAVSTAR
(Navigation Satellite Timing and Ranging). The
basis of the GPS technology is a set of 24 satellites
that are continuously orbiting the earth. These
satellites are equipped with atomic clocks and sent out
radio signals as to the exact time and location. These
radio signals from the satellites are picked up by the
GPS receiver. Once the GPS receiver locks on to four
or more of these satellites, it can triangulate its
location from the known positions of the satellites. It
is a higher performance, low power satellite based
model. It is a cost effective and portable system which
accurately detects the location. The GPS receiver used
here is Sky Traq Venus 6 GPS module ST22 which
is having TTL logics and also RS232 as option. The
GPS receiver is shown in Fig.5. This GPS is used to
track the position of the train after the emergency
brake is applied in order to avoid the accidents.
GPS Receiver Specifications:
1. 65 channels-1Hz Update rate
2. Hot Start- 1sec
3. Baud rate- 9600bits/s
4. Operating Voltage-5Volts dc
5. O/P Format-NMEA 0183-RS232
o

6. Operating Temperature: -40 to +85 C
7. Sensitivity- Tracking: -160 dBm
Reacquisition: -158 dBm
Cold Start (Autonomous): -148 dBm

Fig.3: GPS Receiver
H. DC Motors
To traverse a distance of 22 Km in 4 hrs, an
average speed of 1.5 meters/sec is needed. The
proposed design uses 4 DC motors (Torque Rating:
10Kg and Speed Rating: 500 rpm) interfaced with the
LPC 2148 With a wheel diameter of 5.2 cm and the
total mass of around 5 Kg the approximate speed of
the robot is around 0.5 metres/sec. Hence it has been
calculated that three such robots would be required to
scan the whole Railway System.
www.ijera.com

www.ijera.com

I. IR-Photo diode Assembly
The common 5V IR and Photo diode was
found to be sufficient. The IR is powered using one of
the digital pin of the LPC 2148. The photo diode and a
45kΩ resistor form a potential divider arrangement.
The output of the potential divider is given to one of
the analog input channel of the LPC 2148.

VI.

MECHANICAL DESIGN

The robot runs on both the railway tracks.
This increases its stability preventing it from falling
when it moves over a railway bifurcation. In addition,
the robot has been designed to be symmetrical. It
consists of two wooden frameworks each supporting 2
motors, 1 battery and one IR-Photo diode assembly.
Each battery was found to weigh a little over 300
grams giving additional weight on the wheels which
also ensured stability of the robot when it moved over
railway bifurcations. These two wooden frameworks
were connected by two cylindrical aluminum rods (3/4
inch diameter and 0.25 mm thickness). The length of
the aluminum is so chosen that the four wheels of the
robot rest exactly on a typical broad gauge railway
track. In India, the distance between two rails in a
broad gauge railway is 1.676 meter. The circuit box
containing mainly the LPC 2148 Board, the GPS
module and PC is exactly centered on the aluminum
rod. Two bunches of 10 wires (2 each for the IR, the
Photo diode, the two motor and the battery) each enters
the circuit box from its left and right side. The proper
packaging of these many wires is a crucial in design of
the robot. There are few more design criteria which
were taken into account:
1) The wheels of the robot will be similar to the wheels
of the a train, i.e. a big wheel welded/joined with a
smaller wheel. The smaller wheel runs on the track
while the bigger one prevents the robot from falling. It
is must that the bigger wheel is on the inner side of the
railway track. It is because in the general Indian
scenario the stones and other debris are comparatively
less on the inner side tracks. If the bigger wheels are
placed outside it may brush against the debris causing
it to destabilize or in worst case get stuck or even fall.
2) The IR-Photo diode assembly shouldn’t go below
the rim of the rail otherwise it may get damaged due to
the scattered debris.
3) The distance between the front wheel and the IRPhoto diode assembly is a crucial design aspect. The
front wheel of the robot should be kept sufficiently
behind the IR-Photo diode assembly so that the robot
has sufficient distance to stop after a crack is detected.
In our case it is 12 cm.

VII.

IMPLEMENTATION OF
ALGORITHM

After the robot is powered ON it executes the
following
16 | P a g e
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18
algorithm:
1) Set LowThreshold = 200, HighThreshold = 800.
2) Calibrate Photo diode:
a) Switch OFF left IR.
b) Set LOWleft = Average of left Photo diode signal
c) Switch OFF right IR.
d) Set LOWright = Average of right photo diode
signal.
e) Switch ON left IR.
f) Set LOWleft = Average of left photo diode signal.
g) Switch ON right IR.
h) Set LOWright = Average of right photo diode
signal.
3) Turn ON GPS.
4) REPEAT
a) Read Latitude from NMEA string
b) Read Longitude from NMEA string
UNTIL (Latitude and Longitude not equal Zero)
5) Turn ON motors.
6) Read left photo diode and right photo diode signal.
7) Map left and right photo diode signals between 0
and 1000
using following formulas.
Analog read (Photo diode left) and analog read (photo
diode right)
Signal from photo diode
Mapped values
INTENSITY left and INTENSITY right
8) If INTENSITYleft < LowThreshold and
INTENSITYright < LowThreshold then,
a) Motors are powered ON.
9) If INTENSITYleft < HighThreshold and
INTENSITYright < HighThreshold then,
a) Motors are powered OFF.
b) Read robots coordinate using GPS.
c) Send robots coordinates to the PC and it will
upload the values to predefined website.
11) Jump to step 6.

VIII.

RESULTS

Whenever the IR light falls on the photo
diode the GPS receiver receives the current latitude and
longitude data.
Then the received latitude and longitude data
are sent to PC which will upload those values to the
predefined
website
address
www.stupros.com/site/live8.php by using a software
which is installed in PC as shown in figure 4.

Fig.4: Webpage
The webpage contains the information about
the time when it is received and latitude and longitude
values as shown in figure
5.

Fig.5: Window displaying the data

IX.

CONCLUSION

This paper makes an attempt in providing a
viable solution in making the railway tracks crack free
with IR-photo diode based railway detection scheme.
The main idea of the project can be implemented on a
large scale in order to have safe India with sound
infrastructural facilities for better results in future.

REFERENCES
[1]

[2]

[3]

[4]

www.ijera.com

www.ijera.com

Qiao Jian-hua; Li Lin-sheng; Zhang Jinggang; “Design of Rail Surface Crack- etecting
System Based on Linear CCD Sensor”, IEEE
Int. Conf. on Networking, Sensing and
Control, 2008
K. Vijayakumar, S.R. Wylie, J. D. Cullen,
C.C. Wright, A.I. AIShamma’a, “Non
invasive rail track detection system using
Microwave sensor”, Journal of App. Phy.,
2009
Tranverse crack detection in rail head using
low frequency eddy currents, Patent
US6768298, www.google.com/patents/US6
768298
M. Cacciola, G. Megali, D. Pellicanμo, S.
Calcagno, M. Versaci, and F. C. Morabito,
17 | P a g e
Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18

[5]

[6]

[7]

[8]

www.ijera.com

"Rotating Electromagnetic Field for Crack
Detection in Railway Tracks", PIERS
ONLINE, Vol. 6, NO. 3, 2010
Wojnarowski, Robert John Welles, II,
Kenneth Brakeley Kornrumpf, William Paul,
"Electromagnetic system for railroad track
crack detection and traction enhancement",
Patent
US6262573,
www.patentstorm.us/patents/6262573/descrip
tion.html
Richard J. Greene, John R. Yates and Eann A.
Patterson, "Crack detection in rail using
infrared methods", Opt. Eng. 46, 051013,
May 2007
R.J. Greene, J.R. Yates,E.A. Patterson, "Rail
Crack Detection: An Infrared Approach to Inservice Track Monitoring", SEM Annual
Conference & Exposition on Experimental
and Applied Mechanics,2006
http://en.wikipedia.org/wiki/Rail_inspection,
“Basic techniques of rail crack detection”.

AUTHOR’S PROFILE
CH.MUNEENDRA RAO is pursuing M.Tech in
Gudlavalleru Engineering College.His areas of interest
are embedded systems and Microcontrollers.
B.R.BALA JASWANTH is working as an Assistant
Professor in Gudlavalleru Engineering College.

www.ijera.com

18 | P a g e

Weitere ähnliche Inhalte

Was ist angesagt?

IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry Pi
IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry PiIRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry Pi
IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry PiIRJET Journal
 
IRJET- Design and Fabrication of Prismatic Painting Robot
IRJET-  	  Design and Fabrication of Prismatic Painting RobotIRJET-  	  Design and Fabrication of Prismatic Painting Robot
IRJET- Design and Fabrication of Prismatic Painting RobotIRJET Journal
 
Efficient and secure real-time mobile robots cooperation using visual servoing
Efficient and secure real-time mobile robots cooperation using visual servoing Efficient and secure real-time mobile robots cooperation using visual servoing
Efficient and secure real-time mobile robots cooperation using visual servoing IJECEIAES
 
IRJET- Damage Assessment for Car Insurance
IRJET-  	  Damage Assessment for Car InsuranceIRJET-  	  Damage Assessment for Car Insurance
IRJET- Damage Assessment for Car InsuranceIRJET Journal
 
Electronic Circuit Assessment using Machine Learning (ML)
Electronic Circuit Assessment using Machine Learning (ML)Electronic Circuit Assessment using Machine Learning (ML)
Electronic Circuit Assessment using Machine Learning (ML)vivatechijri
 
IRJET-A Survey on Face Recognition based Security System and its Applications
IRJET-A Survey on Face Recognition based Security System and its ApplicationsIRJET-A Survey on Face Recognition based Security System and its Applications
IRJET-A Survey on Face Recognition based Security System and its ApplicationsIRJET Journal
 
IRJET- Internet of Things based Emergency System
IRJET- Internet of Things based Emergency SystemIRJET- Internet of Things based Emergency System
IRJET- Internet of Things based Emergency SystemIRJET Journal
 
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERI
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERIREPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERI
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERIManish Choudhary
 
IRJET - A Cascade Classifier based Approach on Enhanced Safety of Motorcy...
IRJET -  	  A Cascade Classifier based Approach on Enhanced Safety of Motorcy...IRJET -  	  A Cascade Classifier based Approach on Enhanced Safety of Motorcy...
IRJET - A Cascade Classifier based Approach on Enhanced Safety of Motorcy...IRJET Journal
 
IRJET - Ignition Interlocking Seat Belt
IRJET - Ignition Interlocking Seat BeltIRJET - Ignition Interlocking Seat Belt
IRJET - Ignition Interlocking Seat BeltIRJET Journal
 
IoT for wheel alignment monitoring system
IoT for wheel alignment monitoring systemIoT for wheel alignment monitoring system
IoT for wheel alignment monitoring systemIJECEIAES
 
IRJET- Quality Inspection of Tire using Deep Learning based Computer Vision
IRJET-  	  Quality Inspection of Tire using Deep Learning based Computer VisionIRJET-  	  Quality Inspection of Tire using Deep Learning based Computer Vision
IRJET- Quality Inspection of Tire using Deep Learning based Computer VisionIRJET Journal
 
Unit III - Solved Question Bank- Robotics Engineering -
Unit III - Solved Question Bank-  Robotics Engineering -Unit III - Solved Question Bank-  Robotics Engineering -
Unit III - Solved Question Bank- Robotics Engineering -Sanjay Singh
 
Industrial Microcontroller Based Neural Network Controlled Autonomous Vehicle
Industrial Microcontroller Based Neural Network Controlled  Autonomous VehicleIndustrial Microcontroller Based Neural Network Controlled  Autonomous Vehicle
Industrial Microcontroller Based Neural Network Controlled Autonomous VehicleIJMER
 
IRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET Journal
 
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...IRJET Journal
 
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS Technology
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS TechnologyIRJET- Fabrication, Sensing and Applications of NEMS/MEMS Technology
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS TechnologyIRJET Journal
 

Was ist angesagt? (19)

IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry Pi
IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry PiIRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry Pi
IRJET- Face Detection and Tracking Algorithm using Open CV with Raspberry Pi
 
IRJET- Design and Fabrication of Prismatic Painting Robot
IRJET-  	  Design and Fabrication of Prismatic Painting RobotIRJET-  	  Design and Fabrication of Prismatic Painting Robot
IRJET- Design and Fabrication of Prismatic Painting Robot
 
Efficient and secure real-time mobile robots cooperation using visual servoing
Efficient and secure real-time mobile robots cooperation using visual servoing Efficient and secure real-time mobile robots cooperation using visual servoing
Efficient and secure real-time mobile robots cooperation using visual servoing
 
香港六合彩
香港六合彩香港六合彩
香港六合彩
 
IRJET- Damage Assessment for Car Insurance
IRJET-  	  Damage Assessment for Car InsuranceIRJET-  	  Damage Assessment for Car Insurance
IRJET- Damage Assessment for Car Insurance
 
Electronic Circuit Assessment using Machine Learning (ML)
Electronic Circuit Assessment using Machine Learning (ML)Electronic Circuit Assessment using Machine Learning (ML)
Electronic Circuit Assessment using Machine Learning (ML)
 
IRJET-A Survey on Face Recognition based Security System and its Applications
IRJET-A Survey on Face Recognition based Security System and its ApplicationsIRJET-A Survey on Face Recognition based Security System and its Applications
IRJET-A Survey on Face Recognition based Security System and its Applications
 
IRJET- Internet of Things based Emergency System
IRJET- Internet of Things based Emergency SystemIRJET- Internet of Things based Emergency System
IRJET- Internet of Things based Emergency System
 
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERI
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERIREPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERI
REPORT ON SUMMER TRAINING IN MEMS AT CSIR-CEERI
 
IRJET - A Cascade Classifier based Approach on Enhanced Safety of Motorcy...
IRJET -  	  A Cascade Classifier based Approach on Enhanced Safety of Motorcy...IRJET -  	  A Cascade Classifier based Approach on Enhanced Safety of Motorcy...
IRJET - A Cascade Classifier based Approach on Enhanced Safety of Motorcy...
 
IRJET - Ignition Interlocking Seat Belt
IRJET - Ignition Interlocking Seat BeltIRJET - Ignition Interlocking Seat Belt
IRJET - Ignition Interlocking Seat Belt
 
Iv ec 1
Iv ec 1Iv ec 1
Iv ec 1
 
IoT for wheel alignment monitoring system
IoT for wheel alignment monitoring systemIoT for wheel alignment monitoring system
IoT for wheel alignment monitoring system
 
IRJET- Quality Inspection of Tire using Deep Learning based Computer Vision
IRJET-  	  Quality Inspection of Tire using Deep Learning based Computer VisionIRJET-  	  Quality Inspection of Tire using Deep Learning based Computer Vision
IRJET- Quality Inspection of Tire using Deep Learning based Computer Vision
 
Unit III - Solved Question Bank- Robotics Engineering -
Unit III - Solved Question Bank-  Robotics Engineering -Unit III - Solved Question Bank-  Robotics Engineering -
Unit III - Solved Question Bank- Robotics Engineering -
 
Industrial Microcontroller Based Neural Network Controlled Autonomous Vehicle
Industrial Microcontroller Based Neural Network Controlled  Autonomous VehicleIndustrial Microcontroller Based Neural Network Controlled  Autonomous Vehicle
Industrial Microcontroller Based Neural Network Controlled Autonomous Vehicle
 
IRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated Vehicle
 
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...
Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor, Android and Bluet...
 
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS Technology
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS TechnologyIRJET- Fabrication, Sensing and Applications of NEMS/MEMS Technology
IRJET- Fabrication, Sensing and Applications of NEMS/MEMS Technology
 

Andere mochten auch

BA Transcript and Degree
BA Transcript and DegreeBA Transcript and Degree
BA Transcript and DegreeJerri McCray
 
Iniciación al estudio de la teoria de las situaciones didacticas
Iniciación al estudio de la teoria de las situaciones didacticasIniciación al estudio de la teoria de las situaciones didacticas
Iniciación al estudio de la teoria de las situaciones didacticasfanyml1031
 
eforea_AmericanSpa_June2011
eforea_AmericanSpa_June2011eforea_AmericanSpa_June2011
eforea_AmericanSpa_June2011Tyra Lowman
 
Fuentes de derecho administrativo
Fuentes de derecho administrativoFuentes de derecho administrativo
Fuentes de derecho administrativoJose Perez
 

Andere mochten auch (6)

7
77
7
 
BA Transcript and Degree
BA Transcript and DegreeBA Transcript and Degree
BA Transcript and Degree
 
Kotronaros_EverestCourse
Kotronaros_EverestCourseKotronaros_EverestCourse
Kotronaros_EverestCourse
 
Iniciación al estudio de la teoria de las situaciones didacticas
Iniciación al estudio de la teoria de las situaciones didacticasIniciación al estudio de la teoria de las situaciones didacticas
Iniciación al estudio de la teoria de las situaciones didacticas
 
eforea_AmericanSpa_June2011
eforea_AmericanSpa_June2011eforea_AmericanSpa_June2011
eforea_AmericanSpa_June2011
 
Fuentes de derecho administrativo
Fuentes de derecho administrativoFuentes de derecho administrativo
Fuentes de derecho administrativo
 

Ähnlich wie B41021318

19.robust railway crack detection scheme (rrcds)
19.robust railway crack detection scheme (rrcds)19.robust railway crack detection scheme (rrcds)
19.robust railway crack detection scheme (rrcds)Suresh Ssbn
 
Low Cost Rail Crack Inspection System
Low Cost Rail Crack Inspection SystemLow Cost Rail Crack Inspection System
Low Cost Rail Crack Inspection SystemEditor IJMTER
 
Review on Railway track crack detection using ir transmitter and receiver
Review on Railway track crack detection using ir transmitter and receiverReview on Railway track crack detection using ir transmitter and receiver
Review on Railway track crack detection using ir transmitter and receiverIRJET Journal
 
Railway Inspection System Using IoT
Railway Inspection System Using IoTRailway Inspection System Using IoT
Railway Inspection System Using IoTIRJET Journal
 
IRJET- Automatic Detection of Crack Fault in Railway Track
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET- Automatic Detection of Crack Fault in Railway Track
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET Journal
 
phase 1 presentation-1.pdf
phase 1 presentation-1.pdfphase 1 presentation-1.pdf
phase 1 presentation-1.pdfHemanthaRaju2
 
IRJET-Railway Track Security System
IRJET-Railway Track Security SystemIRJET-Railway Track Security System
IRJET-Railway Track Security SystemIRJET Journal
 
Design and Development of Device Used for Detection of Cracks on Railway Tracks
Design and Development of Device Used for Detection of Cracks on Railway TracksDesign and Development of Device Used for Detection of Cracks on Railway Tracks
Design and Development of Device Used for Detection of Cracks on Railway TracksIRJET Journal
 
Detect of Railroad using Image Processing and Applying it on Syrian Railways
Detect of Railroad using Image Processing and Applying it on Syrian RailwaysDetect of Railroad using Image Processing and Applying it on Syrian Railways
Detect of Railroad using Image Processing and Applying it on Syrian RailwaysIRJET Journal
 
IRJET- Shortest Path Follower Robot
IRJET- Shortest Path Follower RobotIRJET- Shortest Path Follower Robot
IRJET- Shortest Path Follower RobotIRJET Journal
 
Automatic Broken Rail Crack Detection Scheme
Automatic Broken Rail Crack Detection SchemeAutomatic Broken Rail Crack Detection Scheme
Automatic Broken Rail Crack Detection SchemeIJERA Editor
 
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHMPOTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHMIRJET Journal
 
Traffic Management using IoT and Deep Learning Techniques: A Literature Survey
Traffic Management using IoT and Deep Learning Techniques: A Literature SurveyTraffic Management using IoT and Deep Learning Techniques: A Literature Survey
Traffic Management using IoT and Deep Learning Techniques: A Literature SurveyIRJET Journal
 
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...IRJET Journal
 
Traffic Violation Detection Using Multiple Trajectories of Vehicles
Traffic Violation Detection Using Multiple Trajectories of VehiclesTraffic Violation Detection Using Multiple Trajectories of Vehicles
Traffic Violation Detection Using Multiple Trajectories of VehiclesIJERA Editor
 
IRJET- A Review Paper on Existing Pothole Detection Methods
IRJET- A Review Paper on Existing Pothole Detection MethodsIRJET- A Review Paper on Existing Pothole Detection Methods
IRJET- A Review Paper on Existing Pothole Detection MethodsIRJET Journal
 
IRJET - Robots and their Applications
IRJET - Robots and their ApplicationsIRJET - Robots and their Applications
IRJET - Robots and their ApplicationsIRJET Journal
 
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...IRJET Journal
 
IRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural NetworksIRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural NetworksIRJET Journal
 

Ähnlich wie B41021318 (20)

19.robust railway crack detection scheme (rrcds)
19.robust railway crack detection scheme (rrcds)19.robust railway crack detection scheme (rrcds)
19.robust railway crack detection scheme (rrcds)
 
Low Cost Rail Crack Inspection System
Low Cost Rail Crack Inspection SystemLow Cost Rail Crack Inspection System
Low Cost Rail Crack Inspection System
 
Review on Railway track crack detection using ir transmitter and receiver
Review on Railway track crack detection using ir transmitter and receiverReview on Railway track crack detection using ir transmitter and receiver
Review on Railway track crack detection using ir transmitter and receiver
 
Railway Inspection System Using IoT
Railway Inspection System Using IoTRailway Inspection System Using IoT
Railway Inspection System Using IoT
 
IRJET- Automatic Detection of Crack Fault in Railway Track
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET- Automatic Detection of Crack Fault in Railway Track
IRJET- Automatic Detection of Crack Fault in Railway Track
 
phase 1 presentation-1.pdf
phase 1 presentation-1.pdfphase 1 presentation-1.pdf
phase 1 presentation-1.pdf
 
IRJET-Railway Track Security System
IRJET-Railway Track Security SystemIRJET-Railway Track Security System
IRJET-Railway Track Security System
 
Design and Development of Device Used for Detection of Cracks on Railway Tracks
Design and Development of Device Used for Detection of Cracks on Railway TracksDesign and Development of Device Used for Detection of Cracks on Railway Tracks
Design and Development of Device Used for Detection of Cracks on Railway Tracks
 
Detect of Railroad using Image Processing and Applying it on Syrian Railways
Detect of Railroad using Image Processing and Applying it on Syrian RailwaysDetect of Railroad using Image Processing and Applying it on Syrian Railways
Detect of Railroad using Image Processing and Applying it on Syrian Railways
 
IRJET- Shortest Path Follower Robot
IRJET- Shortest Path Follower RobotIRJET- Shortest Path Follower Robot
IRJET- Shortest Path Follower Robot
 
Automatic Broken Rail Crack Detection Scheme
Automatic Broken Rail Crack Detection SchemeAutomatic Broken Rail Crack Detection Scheme
Automatic Broken Rail Crack Detection Scheme
 
A Review paper on Artificial Neural Network: Intelligent Traffic Management S...
A Review paper on Artificial Neural Network: Intelligent Traffic Management S...A Review paper on Artificial Neural Network: Intelligent Traffic Management S...
A Review paper on Artificial Neural Network: Intelligent Traffic Management S...
 
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHMPOTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
 
Traffic Management using IoT and Deep Learning Techniques: A Literature Survey
Traffic Management using IoT and Deep Learning Techniques: A Literature SurveyTraffic Management using IoT and Deep Learning Techniques: A Literature Survey
Traffic Management using IoT and Deep Learning Techniques: A Literature Survey
 
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...
SURVEY ON ARTIFICIAL INTELLIGENCE POWERED POTHOLE DETECTION, REPORTING AND MA...
 
Traffic Violation Detection Using Multiple Trajectories of Vehicles
Traffic Violation Detection Using Multiple Trajectories of VehiclesTraffic Violation Detection Using Multiple Trajectories of Vehicles
Traffic Violation Detection Using Multiple Trajectories of Vehicles
 
IRJET- A Review Paper on Existing Pothole Detection Methods
IRJET- A Review Paper on Existing Pothole Detection MethodsIRJET- A Review Paper on Existing Pothole Detection Methods
IRJET- A Review Paper on Existing Pothole Detection Methods
 
IRJET - Robots and their Applications
IRJET - Robots and their ApplicationsIRJET - Robots and their Applications
IRJET - Robots and their Applications
 
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...
IRJET- Automatic Crack and Fire Detection in Train with Disaster Management u...
 
IRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural NetworksIRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural Networks
 

Kürzlich hochgeladen

Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 

Kürzlich hochgeladen (20)

Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 

B41021318

  • 1. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 RESEARCH ARTICLE www.ijera.com OPEN ACCESS Crack Sensing Scheme in Rail Tracking System Ch. Muneendra Rao, B. R. Bala Jaswanth M. Tech Student Gudlavalleru Engineering College Assistant Professor Gudlavalleru Engineering College ABSTRACT A major share to the Indian economy is contributed by the commercial transport railway network. So, any problems of crack detection in railway network when encountered, may be dealt with a robust and cost effective solution, else, there may be a proportionate decrease in the nations economy. This paper attempts to provide a viable solution by discussing the technical details and design aspects. The discussion continues with the explanation of different criteria involved in choosing simple components like GPS module,PC,IR-photo diode based crack detector module, modeled for effective implementation in India. Keywords:- Railway cracks, Robot, PC, LPC 2148,IR-Photo diode assembly. I. INTRODUCTION After US,RUSSIA and CHINA ranking four in its place. The Indian railway network stretches across the globe with a length of 113,617 kilometers (70,598 mi).over a route of 63,974 kilometers (39,752 mi) covering 7,083 stations. The network traverses every nook and cranny of the nation carries over 30 million passengers and 2.8 million tons of freight daily. It is a growing network with a rapid pace catering the economic needs of our nation with impressive statistics, yet, the associated infrastructural facilities of safety have not been with the prior mention proliferation. Relevant to the international standards, the facilities are inadequate. Because of derailment problem often resulting in damage to human lives and property. The survey in 2011 until the month of July comments that the frequency of accidents is going and in that year itself 11 accidents occurred. To explain the crux of the problem, the accidents in railways are due to 60% derailments and 90% crack problems. Irrespective of natural or anti social reasons. Hence, this problem of cracks on railways became a crucial problem. Which has to be dealt with paramount importance and attention, as the frequency of usage of Indian railways is high. This problem of cracks which is in major proportion, contributes for major train accidents will go unnoticed. Because of irregularity in manual track line monitoring and maintenance. So, to avoid this drastic condition of Indian railway networks from stopping down still more, an automated system which do not rely upon the manual labour is brought into light. Owing to the crucial repercussions of this problem, this paper presents an implementation of an efficient and cost effective solution suitable for large scale application. With the advent of powerful digital signal processors, Image Processing techniques [1] have been explored to formulate solutions to the www.ijera.com problem of railway crack detection. Though it provides good accuracy, this method uses techniques like image segmentation. The usage of microwave antennas in crack detection [2] in investigated in research. Another important technique for crack detection is infrared sensing ([3],[4]) which seemed to more suitable but later it became inaccurate. Other techniques based on ultra sonics [5] also contributed to the detection scheme but they can investigate the crux of the track rather than checking for surface cracks and the surfaces where faults are located. Several other methodologies ([6],[7],[8]) and techniques like observation and analysis of the wave. Propagation involving model impacts and piezo actuation came into light but the approaches are expensive. The problem inherent in all these techniques is that the cost incurred is high. Hence this paper proposes a cheap, novel yet simple scheme with sufficient ruggedness suitable to the Indian scenario that uses an IR-Photo diode arrangement to detect the crack in railway lines, which proves to be cost effective as compared to the existing methods. The important role played by transport in the development of an economy has been studied. In addition, statistics of the number of rail accidents and their corresponding causes have also been studied. This paper is organized as follows: Section II discusses the design issues; Section III discusses the Existing system, Section IV discusses Proposed Scheme using an IR-Photo diode arrangement. Section V elaborates on the electrical design and Section VI explains the mechanical design. Section VII explains implementation of algorithm, Section VIII provides the results of implementation and Section IX provides the conclusion. 13 | P a g e
  • 2. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 II. DESIGN ISSUES INHERENT TO INDIAN SCENARIO Typically, the Indian railways have small gaps in them for thermal expansion in summer. The designing of the tracks is in such a way that there will not be any twists or cracks due to heat. When the techniques developed before the proposed technique came into light, it was found that the existing technique took wrong signals by counting the thermal gaps as cracks. There will be another problem regarding the presence of railway bifurcations. If the physical or mechanical design of the robot is unsuitable, then it will be strucked in the bifurcations or it may fall out of the tracks. Actual design implementation of the prototype model in the field, faced a problem of presence of debris on the outside of the railway tracks. The effects of dirt on the robot wheels would also contributes to the scenario making the circumstances more complex. A literature survey on the existing techniques for crack detection reveal a number of sophisticated and accurate crack detection technologies.First, in the Indian rails, typically there are small gaps in the rail tracks to provide for thermal expansion during the summer. This design is provided so as to ensure that the track does not twist or crack due to the heat. When the existing technique of crack detection was implemented, it was found that the system was giving false positive signals; that is, it was counting the thermal gaps as cracks. Another issue faced during practical implementation is the presence of railway bifurcations. If the mechanical design of the robot is unsuitable, then it will have a tendency to either get stuck in these bifurcations or in worst case even fall out of the tracks. During the designing of prototype for actual on-field implementation, the problem of presence of debris on the outsides of the tracks was encountered. Though this problem seemed trivial, the effects of dirt on our robot wheels could have been substantial. In addition, as the proposed design utilized a IR-Photo diode based design, the ambient light intensity variations imposed extreme challenges to our design concept. III. PROPOSED SYSTEM The core of the proposed crack detection scheme consists of a IR-Photo diode assembly that functions as the rail crack detector. The principle involved in crack detection is the concept of photo diode. In the proposed design, the IR will be attached to one side of the rails and the photo diode to the www.ijera.com opposite side. During normal operation, when there are no cracks, the IR light does not fall on the photo diode and hence the photo diode resistance is high. Subsequently, when the IR light falls on the photo diode, the resistance of the photo diode gets reduced and the amount of reduction will be approximately proportional to the intensity of the incident light. Therefore, when light from the IR deviates from its path due to the presence of a crack or a break, a sudden decrease in the resistance value of the photo diode ensues. This change in resistance indicates the presence of a crack or some other similar structural defect in the rails. In order to detect the current location of the device in case of detection of a crack, a GPS receiver whose function is to receive the current latitude and longitude data is used. To communicate the received information, a PC has been utilized. The function of the PC being used is to upload the current latitude and longitude data to the relevant authority. The aforementioned functionality has been achieved by interfacing the PC, GPS module and IR-Photo diode arrangement with a microcontroller. DC motors drive the robot and relays were used to control the motors. EXISTING SYSTEM The finding of cracks in railways tracks takes time consumption due to manual checking. It reduces the accuracy too. This method of design is having limited intelligence and time consuming. IV. www.ijera.com Fig.1: Block Diagram The various components in the block diagram are mentioned below: 1. LPC2148 Microcontroller 2. Power Supply 3. Crystal Oscillator 4. Reset 5. 16x2 Liquid Crystal Display(LCD) 6. MAX 232 14 | P a g e
  • 3. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 7. Multiplexer 8. PC 9. GPS Module V. www.ijera.com D. Reset Control reset is to execute the entire program cycle from beginning. ELECTRICAL DESIGN A. Microcontroller Unit The LPC2119/2129/2194/2292/2294 are based on a 16/32 bit ARM7TDMI-STM CPU with real-time emulation and embedded trace support, together with 128/256 kilobytes (kB) of embedded high speed flash memory. A 128-bit wide internal memory interface and a unique accelerator architecture enable 32-bit code execution at maximum clock rate. For critical code size applications, the alternative 16-bit Thumb Mode reduces code by more than 30% with minimal performance penalty. Features of the microcontroller: 1. It is a 32-bit microcontroller. 2. 256K Bytes of In-System Programmable (ISP) Flash Memory. 3. 4Kx 32-bit Internal RAM. 4. 46 Programmable I/O Lines. 5. Two 32-bit Timer/Counters. 6. On chip ADC and DAC. 7. 2 UART Serial Channels. Power Supply The input to the circuit is applied from the regulated power supply. The microcontroller voltage is of 5V. The A.C. input i.e., 230V from the mains supply is step down by the transformer to 12V and is fed to a rectifier. The output obtained from the rectifier is a pulsating D.C voltage. So in order to get a pure D.C voltage, the output voltage from the rectifier is fed to a filter to remove any A.C components present even after rectification. Now, this voltage is given to a voltage regulator to obtain a pure constant dc voltage. We are using an IC 7805 as voltage regulator to get a 5V output Voltage. F. MAX232 The microcontroller can communicate with the serial devices using its single serial port. The logic levels at which this serial port operates is TTL logics. But some of the serial devices operate at RS 232 logic levels. So in order to communicate the microcontroller with modem, a mismatch between the logic levels occurs. In order to avoid this mismatch, in other words to match the Logic levels, a serial driver is used. A MAX232 is a serial line driver used to establish communication between modem and microcontroller. The interfacing of GSM modem with microcontroller using MAX 232 as a serial line driver is shown in Fig.3. The voltage levels of Max 232 are given in Table 2. RS232 Line Type & Logic Level RS232 Voltage TTL Voltage to/from MAX232 Data Transmission (Rx/Tx) Logic 0 +3 V to +15 V 0V Data Transmission (Rx/Tx) Logic 1 -3 V to -15 V 5V Control Signals (RTS/CTS/DTR/ DSR) Logic 0 -3 V to -15 V 5V Control Signals (RTS/CTS/DTR/ DSR) Logic 1 +3 V to +15 V 0V B. C. Crystal Oscillator A crystal oscillator is an electronic oscillator circuit that uses the mechanical resonance of a vibrating crystal of piezoelectric material to create an electrical signal with a very precise frequency. This frequency is commonly used to keep track of time (as in quartz wrist watches), to provide a stable clock signal for digital integrated circuits, and to stabilize frequencies for radio transmitters and receivers. The most common type of piezoelectric resonator used is the quartz crystal, so oscillator circuits designed around them became known as “crystal oscillators”. This block provides necessary frequency sine wave to the micro controller. This frequency is converted to square wave within the micro controller. www.ijera.com Table 2: Voltage levels of Max 232 G. Global Positioning System (GPS) The Global Positioning System(GPS) is a satellite based navigation system that sends and 15 | P a g e
  • 4. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 receives radio signals. A GPS receiver acquires these signals and provides the user with information. Using GPS technology one can determine location, velocity and time, 24 hours a day, in any weather conditions anywhere in the world for free. GPS was formally known as the NAVSTAR (Navigation Satellite Timing and Ranging). The basis of the GPS technology is a set of 24 satellites that are continuously orbiting the earth. These satellites are equipped with atomic clocks and sent out radio signals as to the exact time and location. These radio signals from the satellites are picked up by the GPS receiver. Once the GPS receiver locks on to four or more of these satellites, it can triangulate its location from the known positions of the satellites. It is a higher performance, low power satellite based model. It is a cost effective and portable system which accurately detects the location. The GPS receiver used here is Sky Traq Venus 6 GPS module ST22 which is having TTL logics and also RS232 as option. The GPS receiver is shown in Fig.5. This GPS is used to track the position of the train after the emergency brake is applied in order to avoid the accidents. GPS Receiver Specifications: 1. 65 channels-1Hz Update rate 2. Hot Start- 1sec 3. Baud rate- 9600bits/s 4. Operating Voltage-5Volts dc 5. O/P Format-NMEA 0183-RS232 o 6. Operating Temperature: -40 to +85 C 7. Sensitivity- Tracking: -160 dBm Reacquisition: -158 dBm Cold Start (Autonomous): -148 dBm Fig.3: GPS Receiver H. DC Motors To traverse a distance of 22 Km in 4 hrs, an average speed of 1.5 meters/sec is needed. The proposed design uses 4 DC motors (Torque Rating: 10Kg and Speed Rating: 500 rpm) interfaced with the LPC 2148 With a wheel diameter of 5.2 cm and the total mass of around 5 Kg the approximate speed of the robot is around 0.5 metres/sec. Hence it has been calculated that three such robots would be required to scan the whole Railway System. www.ijera.com www.ijera.com I. IR-Photo diode Assembly The common 5V IR and Photo diode was found to be sufficient. The IR is powered using one of the digital pin of the LPC 2148. The photo diode and a 45kΩ resistor form a potential divider arrangement. The output of the potential divider is given to one of the analog input channel of the LPC 2148. VI. MECHANICAL DESIGN The robot runs on both the railway tracks. This increases its stability preventing it from falling when it moves over a railway bifurcation. In addition, the robot has been designed to be symmetrical. It consists of two wooden frameworks each supporting 2 motors, 1 battery and one IR-Photo diode assembly. Each battery was found to weigh a little over 300 grams giving additional weight on the wheels which also ensured stability of the robot when it moved over railway bifurcations. These two wooden frameworks were connected by two cylindrical aluminum rods (3/4 inch diameter and 0.25 mm thickness). The length of the aluminum is so chosen that the four wheels of the robot rest exactly on a typical broad gauge railway track. In India, the distance between two rails in a broad gauge railway is 1.676 meter. The circuit box containing mainly the LPC 2148 Board, the GPS module and PC is exactly centered on the aluminum rod. Two bunches of 10 wires (2 each for the IR, the Photo diode, the two motor and the battery) each enters the circuit box from its left and right side. The proper packaging of these many wires is a crucial in design of the robot. There are few more design criteria which were taken into account: 1) The wheels of the robot will be similar to the wheels of the a train, i.e. a big wheel welded/joined with a smaller wheel. The smaller wheel runs on the track while the bigger one prevents the robot from falling. It is must that the bigger wheel is on the inner side of the railway track. It is because in the general Indian scenario the stones and other debris are comparatively less on the inner side tracks. If the bigger wheels are placed outside it may brush against the debris causing it to destabilize or in worst case get stuck or even fall. 2) The IR-Photo diode assembly shouldn’t go below the rim of the rail otherwise it may get damaged due to the scattered debris. 3) The distance between the front wheel and the IRPhoto diode assembly is a crucial design aspect. The front wheel of the robot should be kept sufficiently behind the IR-Photo diode assembly so that the robot has sufficient distance to stop after a crack is detected. In our case it is 12 cm. VII. IMPLEMENTATION OF ALGORITHM After the robot is powered ON it executes the following 16 | P a g e
  • 5. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 algorithm: 1) Set LowThreshold = 200, HighThreshold = 800. 2) Calibrate Photo diode: a) Switch OFF left IR. b) Set LOWleft = Average of left Photo diode signal c) Switch OFF right IR. d) Set LOWright = Average of right photo diode signal. e) Switch ON left IR. f) Set LOWleft = Average of left photo diode signal. g) Switch ON right IR. h) Set LOWright = Average of right photo diode signal. 3) Turn ON GPS. 4) REPEAT a) Read Latitude from NMEA string b) Read Longitude from NMEA string UNTIL (Latitude and Longitude not equal Zero) 5) Turn ON motors. 6) Read left photo diode and right photo diode signal. 7) Map left and right photo diode signals between 0 and 1000 using following formulas. Analog read (Photo diode left) and analog read (photo diode right) Signal from photo diode Mapped values INTENSITY left and INTENSITY right 8) If INTENSITYleft < LowThreshold and INTENSITYright < LowThreshold then, a) Motors are powered ON. 9) If INTENSITYleft < HighThreshold and INTENSITYright < HighThreshold then, a) Motors are powered OFF. b) Read robots coordinate using GPS. c) Send robots coordinates to the PC and it will upload the values to predefined website. 11) Jump to step 6. VIII. RESULTS Whenever the IR light falls on the photo diode the GPS receiver receives the current latitude and longitude data. Then the received latitude and longitude data are sent to PC which will upload those values to the predefined website address www.stupros.com/site/live8.php by using a software which is installed in PC as shown in figure 4. Fig.4: Webpage The webpage contains the information about the time when it is received and latitude and longitude values as shown in figure 5. Fig.5: Window displaying the data IX. CONCLUSION This paper makes an attempt in providing a viable solution in making the railway tracks crack free with IR-photo diode based railway detection scheme. The main idea of the project can be implemented on a large scale in order to have safe India with sound infrastructural facilities for better results in future. REFERENCES [1] [2] [3] [4] www.ijera.com www.ijera.com Qiao Jian-hua; Li Lin-sheng; Zhang Jinggang; “Design of Rail Surface Crack- etecting System Based on Linear CCD Sensor”, IEEE Int. Conf. on Networking, Sensing and Control, 2008 K. Vijayakumar, S.R. Wylie, J. D. Cullen, C.C. Wright, A.I. AIShamma’a, “Non invasive rail track detection system using Microwave sensor”, Journal of App. Phy., 2009 Tranverse crack detection in rail head using low frequency eddy currents, Patent US6768298, www.google.com/patents/US6 768298 M. Cacciola, G. Megali, D. Pellicanμo, S. Calcagno, M. Versaci, and F. C. Morabito, 17 | P a g e
  • 6. Ch. Muneendra Rao et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.13-18 [5] [6] [7] [8] www.ijera.com "Rotating Electromagnetic Field for Crack Detection in Railway Tracks", PIERS ONLINE, Vol. 6, NO. 3, 2010 Wojnarowski, Robert John Welles, II, Kenneth Brakeley Kornrumpf, William Paul, "Electromagnetic system for railroad track crack detection and traction enhancement", Patent US6262573, www.patentstorm.us/patents/6262573/descrip tion.html Richard J. Greene, John R. Yates and Eann A. Patterson, "Crack detection in rail using infrared methods", Opt. Eng. 46, 051013, May 2007 R.J. Greene, J.R. Yates,E.A. Patterson, "Rail Crack Detection: An Infrared Approach to Inservice Track Monitoring", SEM Annual Conference & Exposition on Experimental and Applied Mechanics,2006 http://en.wikipedia.org/wiki/Rail_inspection, “Basic techniques of rail crack detection”. AUTHOR’S PROFILE CH.MUNEENDRA RAO is pursuing M.Tech in Gudlavalleru Engineering College.His areas of interest are embedded systems and Microcontrollers. B.R.BALA JASWANTH is working as an Assistant Professor in Gudlavalleru Engineering College. www.ijera.com 18 | P a g e