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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2664
ROBOT FOR PRESCRIPTION WRITING
S.Krithiga, Gadireddy.Pavithra, Konka.Sri Vyshnavi, Assistant Professor Mrs.R.Maryvictoria
Department of Electronics and Communication Engineering, Panimalar Institute of
Technology, Anna University, Chennai, India.
---------------------------------------------------------------------------***---------------------------------------------------------------------------
ABSTRACT - The purpose of this paper is to design a universal
robot to perform doctor prescription writing. Now a days,
understanding doctors prescription is a big issue for both the
patients and the pharmacists. Many people got affected by
taking wrong medications because of the lack of
understanding the prescription.
In order to overcome this we have designed and developed a
dual axis controlled robot for medical prescription writing.
Keywords – Prescription Writing, dual axis controlled, robot.
1. INTRODUCTION
Medical prescription are the instructions which is given to
the pharmacist for indicating what are the medicines that the
patient should have to take but due to the handwriting of the
doctors ,some patients and pharmacists face many problems,
they can’t understand the name of the written medicine. Due
to this several life’s that could have been saved have been
lost. In order to overcome this in our project we have came
out with an robot prescription writing. Robot is a machine
that designed to work automatically and it performs one or
more tasks with speed. In our project we have an Bluetooth
sensor which takes the data that is being given by the doctor.
With the help of the bluetooth receiver it receives the data
and the robot starts writing. With the help of the stepper
motors the x and y axis can be controlled so that the text can
be in order, and a server motor is being used in order to in
order to rotate the pen.
2. RELATED WORKS
Mr.Moises Diaz, Mr.jose j. Quintana, Mr.kanstansin Miatliuk,
Mr.adam Wolniakowski and Mr.Miguel A.Ferrer [2] proposed
to design rapid and fluid movements of an universal robot to
perform robot writing and mimicking both the humans
kinematics and when signing the trajectory.
Mimicking human handwriting is a challenge for robots. To
perform the task, on-line human signing standards after that
and robot signatures area analyzed and compared, and the
degree of signatures correlation is defined. Finally,
recommendations of robot motion improvement are given.
Mr.Rayan Haidar, Mr. Roger Achkar, Mr. khodor Ghayad,
Mr.Rana Al Hajj and Mr.Sawsan Saleh [1] demonstrated how
artificial neural networks ANN is used to develop a system
that a can recognise handwritten english medical
prescriptions using the deep convolution recurrent neural
network to train this supervised system, input images are
segmented and processed.
This paper explains how neutral network technology used to
detect prescriptions and translate into digital text.
Mr.Paul Voigtlaender, Mr.Patrick Doetsch, Mr.Hermann Ney
[5] released an efficient implementation that greatly reduces
the training time by processing the input in a diagonal wise
fashion. They have used this implementation to explore
deeper and wider architectures than previously used for
handwriting recognition and have showed especially the
depth plays an important role .There output state of the art
results on two databases with a deep multidimensional
network.
Mrs.Monika A. Shejwal, Mrs.Sangita D. Bharkad [13] they
have presented the model based on the image processing
algorithms that are used for the segmentation and extraction
of characters from curved text lines from the document
images. Then the algorithm performs the curved text
segmentation using the x and the base line. The words in the
document image are then identified and the bounding boxes
are plotted with the words around. The properties of
connected components are used for segmentation words.
Thus, this algorithm has achieved a good accuracy for
extraction of the characters from curved text lines.
Mr.Moises Diaz, Mr.Miguel A. Ferrerand Mr.Jose J.Quintana
[8] have proposed a set of function based features for
dynamic signature verification. They were inspired on the
human stance and the variations in the angles of the arm
joints. When signing. They propose to convert the trajectory
altitude from an online signature into the required sequence
of an robot poses to reproduce such signature. Then, the new
robotic sequence are corrected in an online automatic
signature verifier.
Mr.Bastien Moysset, Mr.Christopher Kermorvant,
Mr.Christian Wolf [3] have demonstrated that text line
detection and localisation is a major step for full page
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2665
document analysis, but still it suffers from heterogeneity of
real life documents. They present a new approach for full
page text recognition. Localisation of text line is normally
based on the regression with the Fully CNN and
Multidimensional Long Short-Term Memory as contextual
layers. To increase the efficiency of the localisation method,
the position of the left side (not the right side) of the text
lines are predicted.
3. HARDWARE REQUIREMNETS
A. ARDUINO MICROCONTROLLER
Arduino Uno board is a good choice for students and
educators. With the Arduino board, one can microcontroller,
write programs and create interface circuits to read switches
and other sensors, and to control lights and motors with very
little effort. It is a microcontroller board based on the
ATmega328P. It consists of 14 digital pins, 6 analog input
pins, 16 MHz quartz crystal, a USB connection, a power jack,
an ICSP header and a reset button. It contains everything that
is needed to support the microcontroller. Here the Arduino
uno is used to interface the program.
B. ADAPTER
An adapter will enable connection of a power plug, it is used
in one region to a AC power socket and it is used in another
by offering connections for the contact arrangements, while
not changing the voltage. An AC adapter is also known as
recharger, is a small power supply that changes household
electric current to low voltage DC suitable for consumer
electronics. Some modify power signal attributes, while
others adapt the physical form of one electrical connector to
another. For computers and other items, serial port adapter
enables connections between 25and 9 contact connectors,
but does not affect electrical power and signalling related
things. Here the adapter is used to supply the power to the
kit. It is used to convert 220V into 50V.
C. 5*1 KEYPAD
A keypad is a set of buttons that are in a block or pad form to
perform a specific task. It contains five keys that are arranged
in matrix form. The pulses from the microcontroller are used
to switching keys in a keypad. To make the keypad work
properly, pull-down resistors have to be placed on the
microcontroller’s input pins, in order to define logic state
when no button is pressed.
By joining zeros and ones at the output pins, it will be known
which button is pressed. It requires only one power supply
for switching. The keypad can be used for a multi input
switching. In our project the keypads has overall 5 keys in
which two keys are used for the movement of the pen and the
remaining two keys are used to move the writing pad in the X
and Y direction.
D. STEPPER MOTOR
This usage of the stepper motor is to drive a 28BYJ stepper.
The stepper can be stopped when the stop button is being
pushed. It can also be changed to control the stepper in order
to rotate it in counterclockwise or clockwise .Here the
stepper motor is used to move the writing pad from left to
right.
E. SERVO MOTOR
The servo motor is a Tiny and lightweight motor with high
output power. Servo motor can rotate approximately 180
degrees, and works just like the standard kind but smaller.
One can use any servo code, library to control these servos.
Here the servo motor is used to move the pen up and down
direction.
F. HC-05-BLUETOOTH TO SERIAL PORT MODULE
Bluetooth module is used for the serial port, it is designed
only for the transparent wireless serial connection setup.
Serial port Bluetooth module is fully qualified Bluetooth.
Modulation with complete 2.4GHz radio transceiver and
baseband. Here the bluetooth is used to transfer the data
given by the receiver to the transmitter.
Figure 1.1 HC-05-Bluetooth Module
4. OUR APPROACH
1. TRANSMITTER SECTION
In the Transmitter section, user gives the data to the receiver
with the help of the bluetooth that is present in the mobile
app (bluetooth voice) as we see in figure 1.2.In transmitter
section it contains a Bluetooth device named HC-05 that
helps to connect to the receiver Bluetooth For transmitting
the data, First the user have to store the required data in
Bluetooth voice app.Then the receiver receives the data from
the transmitter section. Thus it recognizes the data and sends
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2666
it to the receiver section. Then the receiver starts doing its
work.
Figure 1.2 Transmitter section
2. RECEIVER SECTION
In the receiver section it receives the data from the
transmitter and then with the help of ATmega328P the audio
is converted into text. The manual axis adjustment is used to
adjust the direction. The power supply helps to transmit
power to the kit. The Stepper motor is used to drive through
the x & y direction and the Servo motor is used for writing
the pen in up-down axis. Then the writing robot starts
writing data which has been received from the transmitter.
Figure 1.3 Receiver section
3. WORKING
Our project proposes a robot that is used for prescription
writing. It designs a rapid fluid movement of an universal
robot to perform dual axis control robot for writing medical
prescription. The Figure 1.4 shows that the robot is
connecting to 5V power supply. Then it connects with the
Bluetooth device. Thus the user gives the data and then the
Bluetooth transmitter gives the data to the Arduino
(ATmega328P), then it starts interfacing with the program in
kit. The both ULN2003 then drive the stepper motors that are
connected with the dual axis that is the X and Y axis. The
stepper and servo motor is moving with help of gear and belt
setups. And the stepper motor starts working to rotate the
writing pad. Once the data is received the server motor helps
the pen to write the text (in order to convert the audio into
text).Hence the text is written.
Figure1.4 Output
ADVANTAGES
➢ Accuracy
➢ Optimized character axis
Bluetooth
Module
Manual
Axis
Adjustme
nt Control
Switches ATmega328
MICRO
CONTROLE
R
Stepper
Motor
Driver
(X-Axis)
Stepper
motor
Driver
(Y-Axis)
Servo
Motor
(Writing
PEN up
down
Axis)
Writing
Robot
Module
With
Stepper
and Servo
Motor
Power
Supply
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2667
➢ Less delay
➢ Low cost
APPLICATIONS
➢ Medical
➢ Handicapped writing
➢ Industrial data
5. CONCLUSION
In this paper, our approach is to discover a robot that can
write a medical prescription what doctor says in mobile app,
so that the patients and the pharmacists can understand
what is written in the prescription. now the patients can take
the correct medicine and the pharmacist can give the right
medicine.
FUTURE SCOPE
In our project the writing speed is slow since we use the
servo motor. So, In order to increase the speed we can use
the DSP(Digital Signal Processing) in future if needed. Even it
can be used for handicapped people during their
examination. The people who can’t write can use this instead
of depending on some other people.
ACKNOWLEDGEMENT:
We would like to express our special thanks of gratitude to all
my staff “Mrs.R.Maryvictoria”, Assistant Professor (ECE) as
well as our HOD and principal who gave us the golden
opportunity to do this great project on this topic.
REFERENCES
[1] Roger Achkar, Khodor Ghayad, Rayan Haidar,
Swasan Saleh, Rana Al Hajj,”Medical Handwritten
Prescription Recognition Using CRNN “,IEEE (2019).
[2] Kanstantsi Miatliuk,Adam Wolniakkowski,Moises
Diaz,Jose J.Quintana,Miguel A.Ferrer,”Universal
Robot Employement to mimic human
writing”,IEEE(2019).
[3] B. Moysset, C. Kermorvant, and C. Wolf
proposes“Full-page text recognition: Learning where
to start and when to stop,”arXiv: 1704, 08628, 2017.
[4] T. Bluche demonstrates“Joint line Segmentation and
transcription for end-to- end handwritten paragraph
recognition,” in Advances in Neural Information
Processing Systems, 2016, pp.
[5] P. Voigtlaender, P. Doetsch, and H. Hey publish about
“Handwriting recognition with large
multidimensional long short-term memory recurrent
neural networks,” in Frontiers in Handwriting
Recognition inyear 2016.15th international
Conference on. IEEE, 2016.
[6] Youssef Harkouss and Roger Achkar have published
a paper “The Accurate wavelet neural network for
the efficient controlling of an active magnetic
bearing system” 2010.
[7] George Abou Kassm and Roger Achkar demonstrates
Apr cnn cascade and adaptive deskewing. Procedia
Computer Science, 114:296–303, 2017.
[8] M. Diaz, M. A. Ferrer and J.J. Quintana. "Robotic Arm
Motion for Verifying Signatures". 16th International
Conference on Frontiers in ICFHR,, USA, 5-8 August
2018.
[9] C. Valsamos, A. Wolniakowski, K. Miatliuk, V.C.
Moulianitis proposed the Minimization of joint
velocities during the execution of a robotic task
byarticulated manipulator, Advances in Service and
Industrial Robotics, Mechanisms and Machine
Science, Springer, vol. 67, 2018, pp. 368-375.
[10] Dr. Nomal Chandra Borah, Chairman & Managing
Director published there paper in Guwahati
Neurological Research Centre. Doctor’s illegible
handwriting creating confusion leads to deathon
April 20, 2015.
[11] Universal Robot Manual, URScript Programming
Languagein
2015.http://www.sysaxes.com/manuels/
www.simplymodbus.ca/TCP.htm2015.
[12] M. Diaz, A.Fisher, M.A.Ferrer, R.Plamondon proposes
“Dynamic signature verification system based on one
real signature”, IEEE Transactions on Cybernetics,
issue 1, 2018, pp. 228 - 239.
[13] MonikaA.Shejwal, SangitaD.Bharkad,“Sementation
and Extraction of Text from Curved Text Lines using
Image Processing Approach”, IEEE 2017.
[14] Hahm Jehun,Jang Hyunjung,Lee Soyeon,Oh
SeungSub,“A study on the disaster response
Scenarios using robot technology”, 2017.
[15] Mohamad Bdiwi and Kathleen Delang demonstrated
a paper based on the “Human Robot Cooperation-
The Real Time Robot path planning for the Dynamic
HRC-Applications”, 2018.

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IRJET - Robot for Prescription Writing

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2664 ROBOT FOR PRESCRIPTION WRITING S.Krithiga, Gadireddy.Pavithra, Konka.Sri Vyshnavi, Assistant Professor Mrs.R.Maryvictoria Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Anna University, Chennai, India. ---------------------------------------------------------------------------***--------------------------------------------------------------------------- ABSTRACT - The purpose of this paper is to design a universal robot to perform doctor prescription writing. Now a days, understanding doctors prescription is a big issue for both the patients and the pharmacists. Many people got affected by taking wrong medications because of the lack of understanding the prescription. In order to overcome this we have designed and developed a dual axis controlled robot for medical prescription writing. Keywords – Prescription Writing, dual axis controlled, robot. 1. INTRODUCTION Medical prescription are the instructions which is given to the pharmacist for indicating what are the medicines that the patient should have to take but due to the handwriting of the doctors ,some patients and pharmacists face many problems, they can’t understand the name of the written medicine. Due to this several life’s that could have been saved have been lost. In order to overcome this in our project we have came out with an robot prescription writing. Robot is a machine that designed to work automatically and it performs one or more tasks with speed. In our project we have an Bluetooth sensor which takes the data that is being given by the doctor. With the help of the bluetooth receiver it receives the data and the robot starts writing. With the help of the stepper motors the x and y axis can be controlled so that the text can be in order, and a server motor is being used in order to in order to rotate the pen. 2. RELATED WORKS Mr.Moises Diaz, Mr.jose j. Quintana, Mr.kanstansin Miatliuk, Mr.adam Wolniakowski and Mr.Miguel A.Ferrer [2] proposed to design rapid and fluid movements of an universal robot to perform robot writing and mimicking both the humans kinematics and when signing the trajectory. Mimicking human handwriting is a challenge for robots. To perform the task, on-line human signing standards after that and robot signatures area analyzed and compared, and the degree of signatures correlation is defined. Finally, recommendations of robot motion improvement are given. Mr.Rayan Haidar, Mr. Roger Achkar, Mr. khodor Ghayad, Mr.Rana Al Hajj and Mr.Sawsan Saleh [1] demonstrated how artificial neural networks ANN is used to develop a system that a can recognise handwritten english medical prescriptions using the deep convolution recurrent neural network to train this supervised system, input images are segmented and processed. This paper explains how neutral network technology used to detect prescriptions and translate into digital text. Mr.Paul Voigtlaender, Mr.Patrick Doetsch, Mr.Hermann Ney [5] released an efficient implementation that greatly reduces the training time by processing the input in a diagonal wise fashion. They have used this implementation to explore deeper and wider architectures than previously used for handwriting recognition and have showed especially the depth plays an important role .There output state of the art results on two databases with a deep multidimensional network. Mrs.Monika A. Shejwal, Mrs.Sangita D. Bharkad [13] they have presented the model based on the image processing algorithms that are used for the segmentation and extraction of characters from curved text lines from the document images. Then the algorithm performs the curved text segmentation using the x and the base line. The words in the document image are then identified and the bounding boxes are plotted with the words around. The properties of connected components are used for segmentation words. Thus, this algorithm has achieved a good accuracy for extraction of the characters from curved text lines. Mr.Moises Diaz, Mr.Miguel A. Ferrerand Mr.Jose J.Quintana [8] have proposed a set of function based features for dynamic signature verification. They were inspired on the human stance and the variations in the angles of the arm joints. When signing. They propose to convert the trajectory altitude from an online signature into the required sequence of an robot poses to reproduce such signature. Then, the new robotic sequence are corrected in an online automatic signature verifier. Mr.Bastien Moysset, Mr.Christopher Kermorvant, Mr.Christian Wolf [3] have demonstrated that text line detection and localisation is a major step for full page
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2665 document analysis, but still it suffers from heterogeneity of real life documents. They present a new approach for full page text recognition. Localisation of text line is normally based on the regression with the Fully CNN and Multidimensional Long Short-Term Memory as contextual layers. To increase the efficiency of the localisation method, the position of the left side (not the right side) of the text lines are predicted. 3. HARDWARE REQUIREMNETS A. ARDUINO MICROCONTROLLER Arduino Uno board is a good choice for students and educators. With the Arduino board, one can microcontroller, write programs and create interface circuits to read switches and other sensors, and to control lights and motors with very little effort. It is a microcontroller board based on the ATmega328P. It consists of 14 digital pins, 6 analog input pins, 16 MHz quartz crystal, a USB connection, a power jack, an ICSP header and a reset button. It contains everything that is needed to support the microcontroller. Here the Arduino uno is used to interface the program. B. ADAPTER An adapter will enable connection of a power plug, it is used in one region to a AC power socket and it is used in another by offering connections for the contact arrangements, while not changing the voltage. An AC adapter is also known as recharger, is a small power supply that changes household electric current to low voltage DC suitable for consumer electronics. Some modify power signal attributes, while others adapt the physical form of one electrical connector to another. For computers and other items, serial port adapter enables connections between 25and 9 contact connectors, but does not affect electrical power and signalling related things. Here the adapter is used to supply the power to the kit. It is used to convert 220V into 50V. C. 5*1 KEYPAD A keypad is a set of buttons that are in a block or pad form to perform a specific task. It contains five keys that are arranged in matrix form. The pulses from the microcontroller are used to switching keys in a keypad. To make the keypad work properly, pull-down resistors have to be placed on the microcontroller’s input pins, in order to define logic state when no button is pressed. By joining zeros and ones at the output pins, it will be known which button is pressed. It requires only one power supply for switching. The keypad can be used for a multi input switching. In our project the keypads has overall 5 keys in which two keys are used for the movement of the pen and the remaining two keys are used to move the writing pad in the X and Y direction. D. STEPPER MOTOR This usage of the stepper motor is to drive a 28BYJ stepper. The stepper can be stopped when the stop button is being pushed. It can also be changed to control the stepper in order to rotate it in counterclockwise or clockwise .Here the stepper motor is used to move the writing pad from left to right. E. SERVO MOTOR The servo motor is a Tiny and lightweight motor with high output power. Servo motor can rotate approximately 180 degrees, and works just like the standard kind but smaller. One can use any servo code, library to control these servos. Here the servo motor is used to move the pen up and down direction. F. HC-05-BLUETOOTH TO SERIAL PORT MODULE Bluetooth module is used for the serial port, it is designed only for the transparent wireless serial connection setup. Serial port Bluetooth module is fully qualified Bluetooth. Modulation with complete 2.4GHz radio transceiver and baseband. Here the bluetooth is used to transfer the data given by the receiver to the transmitter. Figure 1.1 HC-05-Bluetooth Module 4. OUR APPROACH 1. TRANSMITTER SECTION In the Transmitter section, user gives the data to the receiver with the help of the bluetooth that is present in the mobile app (bluetooth voice) as we see in figure 1.2.In transmitter section it contains a Bluetooth device named HC-05 that helps to connect to the receiver Bluetooth For transmitting the data, First the user have to store the required data in Bluetooth voice app.Then the receiver receives the data from the transmitter section. Thus it recognizes the data and sends
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2666 it to the receiver section. Then the receiver starts doing its work. Figure 1.2 Transmitter section 2. RECEIVER SECTION In the receiver section it receives the data from the transmitter and then with the help of ATmega328P the audio is converted into text. The manual axis adjustment is used to adjust the direction. The power supply helps to transmit power to the kit. The Stepper motor is used to drive through the x & y direction and the Servo motor is used for writing the pen in up-down axis. Then the writing robot starts writing data which has been received from the transmitter. Figure 1.3 Receiver section 3. WORKING Our project proposes a robot that is used for prescription writing. It designs a rapid fluid movement of an universal robot to perform dual axis control robot for writing medical prescription. The Figure 1.4 shows that the robot is connecting to 5V power supply. Then it connects with the Bluetooth device. Thus the user gives the data and then the Bluetooth transmitter gives the data to the Arduino (ATmega328P), then it starts interfacing with the program in kit. The both ULN2003 then drive the stepper motors that are connected with the dual axis that is the X and Y axis. The stepper and servo motor is moving with help of gear and belt setups. And the stepper motor starts working to rotate the writing pad. Once the data is received the server motor helps the pen to write the text (in order to convert the audio into text).Hence the text is written. Figure1.4 Output ADVANTAGES ➢ Accuracy ➢ Optimized character axis Bluetooth Module Manual Axis Adjustme nt Control Switches ATmega328 MICRO CONTROLE R Stepper Motor Driver (X-Axis) Stepper motor Driver (Y-Axis) Servo Motor (Writing PEN up down Axis) Writing Robot Module With Stepper and Servo Motor Power Supply
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2667 ➢ Less delay ➢ Low cost APPLICATIONS ➢ Medical ➢ Handicapped writing ➢ Industrial data 5. CONCLUSION In this paper, our approach is to discover a robot that can write a medical prescription what doctor says in mobile app, so that the patients and the pharmacists can understand what is written in the prescription. now the patients can take the correct medicine and the pharmacist can give the right medicine. FUTURE SCOPE In our project the writing speed is slow since we use the servo motor. So, In order to increase the speed we can use the DSP(Digital Signal Processing) in future if needed. Even it can be used for handicapped people during their examination. The people who can’t write can use this instead of depending on some other people. ACKNOWLEDGEMENT: We would like to express our special thanks of gratitude to all my staff “Mrs.R.Maryvictoria”, Assistant Professor (ECE) as well as our HOD and principal who gave us the golden opportunity to do this great project on this topic. REFERENCES [1] Roger Achkar, Khodor Ghayad, Rayan Haidar, Swasan Saleh, Rana Al Hajj,”Medical Handwritten Prescription Recognition Using CRNN “,IEEE (2019). [2] Kanstantsi Miatliuk,Adam Wolniakkowski,Moises Diaz,Jose J.Quintana,Miguel A.Ferrer,”Universal Robot Employement to mimic human writing”,IEEE(2019). [3] B. Moysset, C. Kermorvant, and C. Wolf proposes“Full-page text recognition: Learning where to start and when to stop,”arXiv: 1704, 08628, 2017. [4] T. Bluche demonstrates“Joint line Segmentation and transcription for end-to- end handwritten paragraph recognition,” in Advances in Neural Information Processing Systems, 2016, pp. [5] P. Voigtlaender, P. Doetsch, and H. Hey publish about “Handwriting recognition with large multidimensional long short-term memory recurrent neural networks,” in Frontiers in Handwriting Recognition inyear 2016.15th international Conference on. IEEE, 2016. [6] Youssef Harkouss and Roger Achkar have published a paper “The Accurate wavelet neural network for the efficient controlling of an active magnetic bearing system” 2010. [7] George Abou Kassm and Roger Achkar demonstrates Apr cnn cascade and adaptive deskewing. Procedia Computer Science, 114:296–303, 2017. [8] M. Diaz, M. A. Ferrer and J.J. Quintana. "Robotic Arm Motion for Verifying Signatures". 16th International Conference on Frontiers in ICFHR,, USA, 5-8 August 2018. [9] C. Valsamos, A. Wolniakowski, K. Miatliuk, V.C. Moulianitis proposed the Minimization of joint velocities during the execution of a robotic task byarticulated manipulator, Advances in Service and Industrial Robotics, Mechanisms and Machine Science, Springer, vol. 67, 2018, pp. 368-375. [10] Dr. Nomal Chandra Borah, Chairman & Managing Director published there paper in Guwahati Neurological Research Centre. Doctor’s illegible handwriting creating confusion leads to deathon April 20, 2015. [11] Universal Robot Manual, URScript Programming Languagein 2015.http://www.sysaxes.com/manuels/ www.simplymodbus.ca/TCP.htm2015. [12] M. Diaz, A.Fisher, M.A.Ferrer, R.Plamondon proposes “Dynamic signature verification system based on one real signature”, IEEE Transactions on Cybernetics, issue 1, 2018, pp. 228 - 239. [13] MonikaA.Shejwal, SangitaD.Bharkad,“Sementation and Extraction of Text from Curved Text Lines using Image Processing Approach”, IEEE 2017. [14] Hahm Jehun,Jang Hyunjung,Lee Soyeon,Oh SeungSub,“A study on the disaster response Scenarios using robot technology”, 2017. [15] Mohamad Bdiwi and Kathleen Delang demonstrated a paper based on the “Human Robot Cooperation- The Real Time Robot path planning for the Dynamic HRC-Applications”, 2018.