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JAIDEV EDUCATION SOCIETY’S
J D COLLEGE OF ENGINEERING AND MANAGEMENT
KATOL ROAD, NAGPUR
Website: www.jdcoem.ac.in E-mail: info@jdcoem.ac.in
An Autonomous Institute, with NAAC "A" Grade
Affiliated to DBATU, RTMNU & MSBTE Mumbai
Department of Electronics and Telecommunication Engineering
“Rectifying Ideas, Amplifying Knowledge”
VISION AND MISSION OF DEPARTMENT
VISION: To be a Department providing high quality & globally competent knowledge of concurrent technologies in the field of
Electronics and Telecommunication.
MISSION: 1. To provide quality teaching learning process through well developed educational environment and dedicated
faculties.
2. To produce competent technocrats of high standards satisfying the needs of all stakeholders.
PRESENTATION
On
Autonomous Hoover Based on
Arduino
Presented by :
 Roshani Bhagat
 Simran Tiwari
 Trupti Choudhari
 Hrushikesh Dalal
Guided by:
Prof. Ashwini Mate
Asst. professor, ETC
Course Outcomes
1. Aim of Project
2. Introduction
3. Literature Survey
4. Proposed Methodology
5. Block diagram
6. Components
7. References
Aim of Project
The aim of the project is to design an innovative automatic
hoover. Target Operation is a household autonomous hoover
inspite of authentic control of the final robot. It gives the effect of
the enlargement of an autonomous mobile robot, designed as
claimed by some new notion established in this field throughout
the last decade. .
INTRODUCTION:-
• Modern households are becoming more automated thereby delivering
convenience and reducing time spent on house chores.
• It is therefore important to improve the technology of vacuum
cleaning to reduce these deficiencies.
• Here, we report the development of a compact and efficient vacuum
cleaner robot for potential office and home use.
• The developed robot is rectangular-shaped, equipped with
vacuuming and cleaning technology, and controlled by Arduino
ATMEGA microcontroller.
• The robot navigates via four motor shield-controlled rear wheels
and a fan which is attached inside the bottle that sucks the dirt .
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
2022 Anil Eren, Hatice
Dogan.
“Design and
implementation of a
cost effective
vaccum cleaner
robot.”
Component
Placement and
Electrical System
Layout, Random
walk and snake
algorithms have been
used as the
navigation algorithm.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
1,June 2022 Vijay A. Kotkar ,
Govind Suryawanshi
, Avinash L Golande,
Vinod .H. Bhutnal.
Crowd anomaly
detection.
 “Detect respect
anomolies, object
detection.”
 Navigation using
a random walk
algorithm through
which it could
reach and cleans
each and every
part of the area.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
July 2021 Irawan, Yuda,
Muhardi, Muhardi,
Ordila, Rian, AND
Diandra, Roni.
“Automatic Floor
Cleaning Robot
Using Arduino and
Ultrasonic Sensor”
Journal of Robotics
and Control(JRC)
This paper discusses
about information
regarding several
parts, namely of an
Ultrasonic Sensor,
Motor Shield L298,
Arduino Uno
microcontroller,
Servo, and Dc Motor.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
October 2019 Aniket A Somwanshi;
Sanjay B Matekar.
Publisher -
International Journal
of Engineering
Research &
Technology (IJERT)
“Design and
Manufacturing of
Automatic Classroom
Vacuum Cleaning
Robot”
Robot an
electromechanical
device automates the
work process in many
areas like industrial
power plants, military
applications,
domestic work,
agricultural
applications, etc.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
2019 P.S. Aditya; R.
Tejas; V. Sai Varun;
B. N. Prashanth. IOP
Conference.
“Design and
Development of
Automatic Cleaning
and Mopping Robot”
“How to minimize
the cost of your
robot". The design
procedure for
creating the cleaning
robot is what they
have discussed at the
starting of the paper.
And after this we can
choose the right
electronics
equipments
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
 December 2018  Balakrishnan
Ramalingam;
Prabakaran
Veerajagadheswar;
Muhammad
Ilyas;Mohan Rajesh
Elara; Arunmozhi
Manimuthu.
Publisher-Hindawi.
 “Vision-Based Dirt
Detection and
Adaptive Tiling
Scheme for
Selective Area
Coverage”
 Give information
regarding visual dirt
detection algorithm
and an adaptive
tiling-based area
coverage scheme for
reconfigurable
morphology robot.
 A three- layer
filtering framework
was used for Visual
dirt detection, which
includes edge
detection, periodic
pattern detection
filter, and noise
filtering.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
December 2018 6) T.B. Asafa; T.M. Afonja;
E.A. Olaniyan; H.O. Alade.
Publisher-Mechanical
Engineering Department,
Ladoke Akintola
University of Technology,
P.M.B. 4000, Ogbomoso,
Nigeria.
“Development of a
vacuum cleaner robot”
 It talks about the model design,
restrictions and cleaning area
along with the design and circuit
layout interaction.
 Basics of building an automated
robot for cleaning has multiple
blocks namely Navigation,
Collision detection, vacuuming
and many more, each type of
blocks and their interactions
must be in sync for the robot to
work properly without any error.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
June 2016 Rachid
Beghdad,SauraurMa
alem,Macera
Bahnes,Mohamed
Gasmi,Mohamed
AmineYakaubi.
Journal of Innovation
in Digital
Ecosystems Volume
3, Issue 1,
1. The path
planning of
cleaner robot for
coverage region
using Genetic
Algorithms;
2. The path
planning method
 Mini path
 Robot position
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
October 2014 F Vaussarda; J Fink;
V Bauwens; P
Retornaz; D Hamel;
P dilllenbourg; F
Mondada. Publisher
– Research Gate
“Lessons Learned
from Robotic
Vacuum Cleaners
Entering in the Home
Ecosystem”
How to deal with the
faults of previous
robotic vacuum
cleaners, learn from
them and to
overcome these
faults effectively by
making necessary
changes in the design
of the robot.
LITERATURE SURVEY
YEAR AUTHOR TITLE FINDINGS
2013 Hess, Jürgen,
Maximilian Beinhofer,
Daniel Kuhner, Philipp
Ruchti, and Wolfram
Burgard. n 2013 IEEE
International
Conference on Robotics
and Automation, pp.
2245-2250.
"Poisson-driven dirt
maps for efficient
robot cleaning."
the robot which is controlled by the
android application through
Bluetooth module [10]. The
application sends the information to
microcontroller to have control over
robot. The distance of the obstacles
is detected using the ultrasonic
sensors and the distance is displayed
on LCD and as well as on
application. Here man controls the
overall operation indirectly. B.
Bluetooth Based Automatic Floor.
PROPOSED METHODOLOGY
BLOCK DIAGRAM:-
PROPOSED METHODOLOGY
BLOCK DIAGRAM:-
PROPOSED METHODOLOGY
COMPONENTS:- ARDUINO MOTOR SHEILD
• The Arduino Motor Shield is based on the L298 (datasheet), which is a
dual full-bridge driver designed to drive inductive loads such as relays,
solenoids, DC and stepping motors. It lets you drive two DC motors
with your Arduino board, controlling the speed and direction of each one
independently.
• You can also measure the motor current absorption of each motor,
among other features. The shield is TinkerKit compatible, which means
you can quickly create projects by plugging TinkerKit modules to the
board.
PROPOSED
METHODOLOGY
COMPONENT :- ARDUINO UNO
• Arduino UNO is a microcontroller board based on the ATmega328P. It
has 14 digital input/output pins (of which 6 can be used as PWM
outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB
connection, a power jack, an ICSP header and a reset button.
• It contains everything needed to support the microcontroller; simply
connect it to a computer with a USB cable or power it with a AC-to-DC
adapter or battery to get started. You can tinker with your UNO without
worrying too much about doing something wrong, worst case scenario
you can replace the chip for a few dollars and start over again.
PROPOSED METHODOLOGY
COMPONENTS:- ULTRASONIC SENSOR
• Ultrasonic sensors are used primarily as proximity sensors. They can be
found in automobile self-parking technology and anti-collision safety
systems.
• Ultrasonic sensors are also used in robotic obstacle detection systems, as
well as manufacturing technology. In comparison to infrared (IR) sensors
in proximity sensing applications, ultrasonic sensors are not as susceptible
to interference of smoke, gas, and other airborne particles (though the
physical components are still affected by variables such as heat).
REFERENCES
1) Hess, Jürgen, Maximilian Beinhofer, Daniel Kuhner, Philipp Ruchti, and
Wolfram Burgard. "Poissondriven dirt maps for efficient robot cleaning." In 2013
IEEE International Conference on Robotics and Automation, pp. 2245-2250.
IEEE, 2013.
2) “ Irawan, Yuda, Muhardi, Muhardi, Ordila, Rian, AND Diandra, Roni.
“Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor” Journal of
Robotics and Control(JRC). (July 2021)
3) “Design and Manufacturing of Automatic Classroom Vacuum Cleaning Robot”
by Aniket A Somwanshi; Sanjay B Matekar. Publisher - International Journal of
Engineering Research & Technology (IJERT). (October 2019)
4) “Design and Development of Automatic Cleaning and Mopping Robot” by P.S.
Aditya; R. Tejas; V. Sai Varun; B. N. Prashanth. IOP Conference. (2019)
5) “Vision-Based Dirt Detection and Adaptive Tili Scheme for Selective Area
Coverage” by Balakrishnan Ramalingam; Prabakaran Veerajagadheswar;
Muhammad Ilyas;Mohan Rajesh Elara; Arunmozhi Manimuthu. Publisher-Hindawi.
(December 2018)
6) “Development of a vacuum cleaner robot” by T.B. Asafa; T.M. Afonja; E.A.
Olaniyan; H.O. Alade. Publisher-Mechanical Engineering Department, Ladoke
Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria. (December
2018)
7) “Lessons Learned from Robotic Vacuum Cleaners Entering in the Home
Ecosystem” by F Vaussarda; J Fink; V Bauwens; P Retornaz; D Hamel; P
dilllenbourg; F Mondada. Publisher – Research Gate. (October 2014)
8) Journal of Innovation in Digital Ecosystems Volume 3, Issue 1,June 2016,
Pages 37-43
9) Dogo Rangsang Research Journal UGC Care Group 1 Journal Vol-12 Issue-06
No. 01 June 2022.
10) Turkish Journal of Engineering – 2022 ; Design and implementation of a cost-
effective vacuum cleaner robot Anıl Eren , Hatice Dogan Turkish Journal of
Engineering – 2022; 6(2)
Thank You....!

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HOOVER PPT REVIEW PAPER (2) (1).pptx

  • 1. JAIDEV EDUCATION SOCIETY’S J D COLLEGE OF ENGINEERING AND MANAGEMENT KATOL ROAD, NAGPUR Website: www.jdcoem.ac.in E-mail: info@jdcoem.ac.in An Autonomous Institute, with NAAC "A" Grade Affiliated to DBATU, RTMNU & MSBTE Mumbai Department of Electronics and Telecommunication Engineering “Rectifying Ideas, Amplifying Knowledge” VISION AND MISSION OF DEPARTMENT VISION: To be a Department providing high quality & globally competent knowledge of concurrent technologies in the field of Electronics and Telecommunication. MISSION: 1. To provide quality teaching learning process through well developed educational environment and dedicated faculties. 2. To produce competent technocrats of high standards satisfying the needs of all stakeholders. PRESENTATION On Autonomous Hoover Based on Arduino
  • 2. Presented by :  Roshani Bhagat  Simran Tiwari  Trupti Choudhari  Hrushikesh Dalal Guided by: Prof. Ashwini Mate Asst. professor, ETC
  • 3. Course Outcomes 1. Aim of Project 2. Introduction 3. Literature Survey 4. Proposed Methodology 5. Block diagram 6. Components 7. References
  • 4. Aim of Project The aim of the project is to design an innovative automatic hoover. Target Operation is a household autonomous hoover inspite of authentic control of the final robot. It gives the effect of the enlargement of an autonomous mobile robot, designed as claimed by some new notion established in this field throughout the last decade. .
  • 5. INTRODUCTION:- • Modern households are becoming more automated thereby delivering convenience and reducing time spent on house chores. • It is therefore important to improve the technology of vacuum cleaning to reduce these deficiencies. • Here, we report the development of a compact and efficient vacuum cleaner robot for potential office and home use. • The developed robot is rectangular-shaped, equipped with vacuuming and cleaning technology, and controlled by Arduino ATMEGA microcontroller. • The robot navigates via four motor shield-controlled rear wheels and a fan which is attached inside the bottle that sucks the dirt .
  • 6. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS 2022 Anil Eren, Hatice Dogan. “Design and implementation of a cost effective vaccum cleaner robot.” Component Placement and Electrical System Layout, Random walk and snake algorithms have been used as the navigation algorithm.
  • 7. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS 1,June 2022 Vijay A. Kotkar , Govind Suryawanshi , Avinash L Golande, Vinod .H. Bhutnal. Crowd anomaly detection.  “Detect respect anomolies, object detection.”  Navigation using a random walk algorithm through which it could reach and cleans each and every part of the area.
  • 8. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS July 2021 Irawan, Yuda, Muhardi, Muhardi, Ordila, Rian, AND Diandra, Roni. “Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor” Journal of Robotics and Control(JRC) This paper discusses about information regarding several parts, namely of an Ultrasonic Sensor, Motor Shield L298, Arduino Uno microcontroller, Servo, and Dc Motor.
  • 9. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS October 2019 Aniket A Somwanshi; Sanjay B Matekar. Publisher - International Journal of Engineering Research & Technology (IJERT) “Design and Manufacturing of Automatic Classroom Vacuum Cleaning Robot” Robot an electromechanical device automates the work process in many areas like industrial power plants, military applications, domestic work, agricultural applications, etc.
  • 10. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS 2019 P.S. Aditya; R. Tejas; V. Sai Varun; B. N. Prashanth. IOP Conference. “Design and Development of Automatic Cleaning and Mopping Robot” “How to minimize the cost of your robot". The design procedure for creating the cleaning robot is what they have discussed at the starting of the paper. And after this we can choose the right electronics equipments
  • 11. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS  December 2018  Balakrishnan Ramalingam; Prabakaran Veerajagadheswar; Muhammad Ilyas;Mohan Rajesh Elara; Arunmozhi Manimuthu. Publisher-Hindawi.  “Vision-Based Dirt Detection and Adaptive Tiling Scheme for Selective Area Coverage”  Give information regarding visual dirt detection algorithm and an adaptive tiling-based area coverage scheme for reconfigurable morphology robot.  A three- layer filtering framework was used for Visual dirt detection, which includes edge detection, periodic pattern detection filter, and noise filtering.
  • 12. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS December 2018 6) T.B. Asafa; T.M. Afonja; E.A. Olaniyan; H.O. Alade. Publisher-Mechanical Engineering Department, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria. “Development of a vacuum cleaner robot”  It talks about the model design, restrictions and cleaning area along with the design and circuit layout interaction.  Basics of building an automated robot for cleaning has multiple blocks namely Navigation, Collision detection, vacuuming and many more, each type of blocks and their interactions must be in sync for the robot to work properly without any error.
  • 13. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS June 2016 Rachid Beghdad,SauraurMa alem,Macera Bahnes,Mohamed Gasmi,Mohamed AmineYakaubi. Journal of Innovation in Digital Ecosystems Volume 3, Issue 1, 1. The path planning of cleaner robot for coverage region using Genetic Algorithms; 2. The path planning method  Mini path  Robot position
  • 14. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS October 2014 F Vaussarda; J Fink; V Bauwens; P Retornaz; D Hamel; P dilllenbourg; F Mondada. Publisher – Research Gate “Lessons Learned from Robotic Vacuum Cleaners Entering in the Home Ecosystem” How to deal with the faults of previous robotic vacuum cleaners, learn from them and to overcome these faults effectively by making necessary changes in the design of the robot.
  • 15. LITERATURE SURVEY YEAR AUTHOR TITLE FINDINGS 2013 Hess, Jürgen, Maximilian Beinhofer, Daniel Kuhner, Philipp Ruchti, and Wolfram Burgard. n 2013 IEEE International Conference on Robotics and Automation, pp. 2245-2250. "Poisson-driven dirt maps for efficient robot cleaning." the robot which is controlled by the android application through Bluetooth module [10]. The application sends the information to microcontroller to have control over robot. The distance of the obstacles is detected using the ultrasonic sensors and the distance is displayed on LCD and as well as on application. Here man controls the overall operation indirectly. B. Bluetooth Based Automatic Floor.
  • 18. PROPOSED METHODOLOGY COMPONENTS:- ARDUINO MOTOR SHEILD • The Arduino Motor Shield is based on the L298 (datasheet), which is a dual full-bridge driver designed to drive inductive loads such as relays, solenoids, DC and stepping motors. It lets you drive two DC motors with your Arduino board, controlling the speed and direction of each one independently. • You can also measure the motor current absorption of each motor, among other features. The shield is TinkerKit compatible, which means you can quickly create projects by plugging TinkerKit modules to the board.
  • 19. PROPOSED METHODOLOGY COMPONENT :- ARDUINO UNO • Arduino UNO is a microcontroller board based on the ATmega328P. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header and a reset button. • It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. You can tinker with your UNO without worrying too much about doing something wrong, worst case scenario you can replace the chip for a few dollars and start over again.
  • 20. PROPOSED METHODOLOGY COMPONENTS:- ULTRASONIC SENSOR • Ultrasonic sensors are used primarily as proximity sensors. They can be found in automobile self-parking technology and anti-collision safety systems. • Ultrasonic sensors are also used in robotic obstacle detection systems, as well as manufacturing technology. In comparison to infrared (IR) sensors in proximity sensing applications, ultrasonic sensors are not as susceptible to interference of smoke, gas, and other airborne particles (though the physical components are still affected by variables such as heat).
  • 21. REFERENCES 1) Hess, Jürgen, Maximilian Beinhofer, Daniel Kuhner, Philipp Ruchti, and Wolfram Burgard. "Poissondriven dirt maps for efficient robot cleaning." In 2013 IEEE International Conference on Robotics and Automation, pp. 2245-2250. IEEE, 2013. 2) “ Irawan, Yuda, Muhardi, Muhardi, Ordila, Rian, AND Diandra, Roni. “Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor” Journal of Robotics and Control(JRC). (July 2021) 3) “Design and Manufacturing of Automatic Classroom Vacuum Cleaning Robot” by Aniket A Somwanshi; Sanjay B Matekar. Publisher - International Journal of Engineering Research & Technology (IJERT). (October 2019) 4) “Design and Development of Automatic Cleaning and Mopping Robot” by P.S. Aditya; R. Tejas; V. Sai Varun; B. N. Prashanth. IOP Conference. (2019) 5) “Vision-Based Dirt Detection and Adaptive Tili Scheme for Selective Area Coverage” by Balakrishnan Ramalingam; Prabakaran Veerajagadheswar; Muhammad Ilyas;Mohan Rajesh Elara; Arunmozhi Manimuthu. Publisher-Hindawi. (December 2018)
  • 22. 6) “Development of a vacuum cleaner robot” by T.B. Asafa; T.M. Afonja; E.A. Olaniyan; H.O. Alade. Publisher-Mechanical Engineering Department, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria. (December 2018) 7) “Lessons Learned from Robotic Vacuum Cleaners Entering in the Home Ecosystem” by F Vaussarda; J Fink; V Bauwens; P Retornaz; D Hamel; P dilllenbourg; F Mondada. Publisher – Research Gate. (October 2014) 8) Journal of Innovation in Digital Ecosystems Volume 3, Issue 1,June 2016, Pages 37-43 9) Dogo Rangsang Research Journal UGC Care Group 1 Journal Vol-12 Issue-06 No. 01 June 2022. 10) Turkish Journal of Engineering – 2022 ; Design and implementation of a cost- effective vacuum cleaner robot Anıl Eren , Hatice Dogan Turkish Journal of Engineering – 2022; 6(2)