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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1166
SMART CAR PARKING SYSTEM USING IR SENSOR
Mr. S.T.P. Senthil kumar B.E., M.Tech.,1 Mr. PRABHAKARAN M B.E., M.E.,2
1 Assistant Professor, Department of Electronics and Communication Engineering, Chettinad College of
Engineering and Technology, Karur,
2 Assistant Professor, Department of Electronics and Communication Engineering, Chettinad College of
Engineering and Technology, Karur.
------------------------------------------------------------------------***-------------------------------------------------------------------------
ABSTRACT
With the increase in vehicle production and world population,
more and more parking spaces and facilities were required. In
this project, a new parking system named, Smart Car Parking
System (SCPS) was proposed to assist drivers in locating
available spaces in a car park in a shorter time. Different
detection technologies were analyzed and compared to
determine the best technology for developing SCPS. This
system calculates the count of the car entered in the parking
area and displays the parking availability status at the
entrance. Once a vehicle enters the parking area, the gate
opens automatically using sensors and motors to avoid
manpower. The characteristics of SCPS include available
parking space detection, display of available parking spaces,
and an automatic gate opening system. An onlinepre-booking
facility was also added to facilitate the drivers.
Keywords: Smart Car Parking, IoT, Arduino Uno, IR Sensor
1. INTRODUCTION
Today in many cities it has become almost impossible and
quite expensive to build new parking areas for vehicles as
they have almost reached their full occupancy. Finding car
parking can be a daunting task, especially during festival
times. We do not know how many cars can be parked inside
the car parking area. Improper use of parking areas leads to
congestion for drivers or those who are seeking parking in
that particular area. It has been observed around 28-45% of
traffic congestion is because of the unavailability of parking
at an appropriate time. It has been observed that a driver
usually spends nearly about 80 million hours searchingfora
perfect parking slot in France yearly. Increasing traffic in
urban cities causes more pollution that even causes various
body diseases.
An effort is required to manage the parking facilities and
resources to reduce the traffic congestion on roads and save
the time of people in search for parking and even reduce the
pollution indirectly and thereby improvising the quality of
life as well. Nowadays smart cities focus more on
sustainability by developing more resource-managing
technologies like the internet of things. It has been observed
that the potential parking business is increasing every year
and is expanding at a rapid pace, more attention as per the
International Parking Institute after having undergone a
survey came to conclude that analyses the growingtrends in
sparking innovation. Infrastructure for car parking and
systems for controlling traffic are the major areas that are a
part of the smart city.
Issues related to parking and increasing congestion in cities
can only be solved if the driver or private car owners are
pre-informed about the spots that are available at the place
one wants to go, or they can book the slot for parking their
vehicle before they arrived at their destination. The
proposed system describes an approach to reduce traffic
congestion issues and to save time in the search for parking
spaces thereby making smart Cities using the conceptofIoT.
2. RELATED WORK
Parking slot recognition for parking assistance systems and
autonomous parking systems uses distance sensors and
image sensors. A distance sensor-based parking assistance
system recognizes a space using ultrasonicsensorsandlidar
sensors. Even if a space is not a parking space, the system
recognizes a parking space when a space that is equal to the
width of the vehicle is detected. Distance-sensor-based
parking slot recognition is applied in a parking assistance
system where a person finally determines a parking space.
However, it is difficult to applyina fullyautonomousparking
system, where the system judges a parking space andmoves
the car. The disadvantages of distance-based sensors can be
compensated for by image sensors such as Around View
Monitoring (AVM) because the image-sensor-based parking
space recognition detects spaces based on parking slot
markers. However, image-based feature extraction
sometimes detects false positives because of other objects
such as shadows, vehicles, and guidance cones.
These false-positive features resultinthemisrecognition ofa
parking space because of the characteristics of AVM.Whena
3D object such as a parked vehicle is recognized by an AVM
system, the shape of the vehicle is distorted and occupies a
space in a parking area. When a false positive feature of the
parking slot marker is detected from the parked vehicle, it is
recognized as a no-parking space or an occupied space,even
though it is an empty parking space.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1167
3. PROPOSED WORK
The proposed system overcomes the problem by avoiding
AVM cameras and we provide a separate parking area for
online booking and offline parking. The proposed system
avoids the slot markers and the use of the camera tomonitor
the slot marker in car parking. It implements an automated
gateway for the car park to avoid manpower and also
displays the status of the availability of the parking space at
the parking entrance. Here IR sensors are used to count the
number of cars entering and leaving the car parking. Here
IoT is used for the online booking process and
microcontrollers are used for the offline process.
3.1 Block Diagram
Figure: 1 represents the overall structure of the SCPS. The
display is placed at the entrance to show the available
parking space. An IR sensor 1 is placed at the entrance to
count the entering cars. Once the IR sensor senses the
incoming car then the signal is transmitted to the DC motor
to open the gate. An IR sensor 2 is placed after the DC motor
to count the exiting cars. Once the entire parking space is
filled it will display No space and the gate will not open until
the availability of space inside the parking area. Here we
provide a separate parking area for online pre-booking
methods.
Fig-1: Overview of SCPS
3.2 Components Used To Develop SCPS
Arduino Uno
IR Sensor
16*2 LCD Display
DC Motor
4. EXPERIMENT RESULTS
The figures (2-8) show the real-time output of the SmartCar
Parking System (SCPS). In this offline parking system the
space is viewed by LCD at the entrance of the parking area
and online parking system the web page shows the booked
slot and empty slot in the car parking area.
4.1 Hardware Implementation
Fig-2 Arduino Uno code
Fig-3 Connection image
Fig-4 Program dumping
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1168
Fig-5 Final Output
4.2 Software Implementation
Fig-6 Signup Page
Fig-7 Login Page
Fig-8 Booking Page
Fig-9 Booking Conformation Page
5. CONCLUSION
In this paper, we have addressed the problemofparkingand
presented a Smart Car Parking system. Drivers or private
owners of vehicles could book a parking slot for them by
checking the available slotsforparking.Driverstoday,prefer
and demand smarter and quick services for hassle-free
parking. Smart parking is, however, an inevitable service,
especially in urban towns. The smart parking system in the
paper is gradually moving towardsanimprovedservice with
better time saving, cost saving, and increased revenues. In
this method, we can avoid the use of several sensors for car
detection. This method contains only two sensors at the
entrance to count the entering and leaving of the car in the
car parking. The automatic gateway avoids manpower. The
display at the entrance shows the parking availability;
thereby saving the search time.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1169
REFERENCES
[1] Buchanan, B. "Smart Parking Source Code." [Online].
Available:
http://pushkin.faculty.unlv.edu//youtube_projects/Bucha
nan.pdf. [Accessed: 01-Jul-2018].
[2] Deoghare, P. M. R. "Android-based Smart Parking
System," Int. J. Innov. Res. Comput. Commun. Eng., vol. 3, no.
5, pp. 3981–3985, 2015.
[3] Djahel, S. et al. A communications-oriented perspective
on traffic management systems for smart cities: Challenges
and innovative approaches. IEEE Communications Surveys
Tutorials, 17(1):125–151, First quarter 2015.
[4] Frampton, C. Average driver spends nearly two days a
year searching for parking. In
https://www.admiral.com/magazine/news-and-
currentaffairs/drivers-spend-fourty-four-hours-a-year-
searching-for-a-parkingspace, July 2017.
[5] Han, J. and Choi, J. "Parking space recognition for
autonomous valet parking using height and salient-line
probability maps," ETRI J., vol. 37, no. 6, pp. 1220–1230,
2015.
[6] Huang, C. and Wang, S. "A Hierarchical Bayesian
Generation Framework for VacantParkingSpaceDetection,"
IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 12, pp.
1770–1785, 2010.
[7] Ichihashi, H, Katada, T, Fujiyoshi, M, Notsu, A.andHonda,
K. "Improvement in the performance of camera-based
vehicle detector for the parking lot," IEEE International
Conference on Fuzzy Systems, pp.1-7, 18-23 July 2010.
[8] INRIX. Searching for parking costs the UK £23.3 billion a
year. In http://inrix.com/press-releases/parking-pain-uk/,
July 2017.
[9] Kianpisheh, A. Mustaffa, M. Limtrairut,P. and
Keikhosrokiani,P. "Smart Parking System (SPS) architecture
using the ultrasonic detector," Int. J. Softw. Eng. itsAppl.,vol.
6, no. 3, pp. 51–58, 2012.
[10] Li, S. Member, IEEE, Ying- Chieh Yeh, Jyun Da Wu, Ming-
Ying Hsiao, Member, IEEE, and Chih-Yang Chen- IEEE
TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57,
NO. 5, MAY 2010.
[11] Mejri, N. et al. Reservation-based multi-objective smart
parking approach for smart cities. In 2016 IEEE
International Smart Cities Conference(ISC2),pages1–6,Sep.
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[12] Mellis, D. "ArduinoMega 2560," Arduino,2011.[Online].
Available:
http://www.mantech.co.za/datasheets/products/a000047.
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[13] Sadhukhan.P. An IoT-based e-parking system for smart
cities. In 2017 International Conference on Advances in
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pages 1062–1066, Sep. 2017.
[14] Silar, J. et al. Smart parking in the smart city application.
In 2018 Smart City Symposium Prague (SCSP), pages 1–5,
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[15] Tee Chai Yong., "Smart Parking Syatem," Universiti
Teknikal Malaysia Melaka, 2014. Yan, Y. et al.
[16] Smart parking: A secure and intelligent parkingsystem.
IEEE Intelligent Transportation SystemsMagazine,3(1):18–
30, Spring 2011.
[17] Zahid Mahmood1, Ossama Haneef1, Nazeer
Muhammad2 , Shahid Khattak1 IET Intell. Transp. 78-1-
4673-4853-9/13/$31.00 ©2013 IEEE.

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SMART CAR PARKING SYSTEM USING IR SENSOR

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1166 SMART CAR PARKING SYSTEM USING IR SENSOR Mr. S.T.P. Senthil kumar B.E., M.Tech.,1 Mr. PRABHAKARAN M B.E., M.E.,2 1 Assistant Professor, Department of Electronics and Communication Engineering, Chettinad College of Engineering and Technology, Karur, 2 Assistant Professor, Department of Electronics and Communication Engineering, Chettinad College of Engineering and Technology, Karur. ------------------------------------------------------------------------***------------------------------------------------------------------------- ABSTRACT With the increase in vehicle production and world population, more and more parking spaces and facilities were required. In this project, a new parking system named, Smart Car Parking System (SCPS) was proposed to assist drivers in locating available spaces in a car park in a shorter time. Different detection technologies were analyzed and compared to determine the best technology for developing SCPS. This system calculates the count of the car entered in the parking area and displays the parking availability status at the entrance. Once a vehicle enters the parking area, the gate opens automatically using sensors and motors to avoid manpower. The characteristics of SCPS include available parking space detection, display of available parking spaces, and an automatic gate opening system. An onlinepre-booking facility was also added to facilitate the drivers. Keywords: Smart Car Parking, IoT, Arduino Uno, IR Sensor 1. INTRODUCTION Today in many cities it has become almost impossible and quite expensive to build new parking areas for vehicles as they have almost reached their full occupancy. Finding car parking can be a daunting task, especially during festival times. We do not know how many cars can be parked inside the car parking area. Improper use of parking areas leads to congestion for drivers or those who are seeking parking in that particular area. It has been observed around 28-45% of traffic congestion is because of the unavailability of parking at an appropriate time. It has been observed that a driver usually spends nearly about 80 million hours searchingfora perfect parking slot in France yearly. Increasing traffic in urban cities causes more pollution that even causes various body diseases. An effort is required to manage the parking facilities and resources to reduce the traffic congestion on roads and save the time of people in search for parking and even reduce the pollution indirectly and thereby improvising the quality of life as well. Nowadays smart cities focus more on sustainability by developing more resource-managing technologies like the internet of things. It has been observed that the potential parking business is increasing every year and is expanding at a rapid pace, more attention as per the International Parking Institute after having undergone a survey came to conclude that analyses the growingtrends in sparking innovation. Infrastructure for car parking and systems for controlling traffic are the major areas that are a part of the smart city. Issues related to parking and increasing congestion in cities can only be solved if the driver or private car owners are pre-informed about the spots that are available at the place one wants to go, or they can book the slot for parking their vehicle before they arrived at their destination. The proposed system describes an approach to reduce traffic congestion issues and to save time in the search for parking spaces thereby making smart Cities using the conceptofIoT. 2. RELATED WORK Parking slot recognition for parking assistance systems and autonomous parking systems uses distance sensors and image sensors. A distance sensor-based parking assistance system recognizes a space using ultrasonicsensorsandlidar sensors. Even if a space is not a parking space, the system recognizes a parking space when a space that is equal to the width of the vehicle is detected. Distance-sensor-based parking slot recognition is applied in a parking assistance system where a person finally determines a parking space. However, it is difficult to applyina fullyautonomousparking system, where the system judges a parking space andmoves the car. The disadvantages of distance-based sensors can be compensated for by image sensors such as Around View Monitoring (AVM) because the image-sensor-based parking space recognition detects spaces based on parking slot markers. However, image-based feature extraction sometimes detects false positives because of other objects such as shadows, vehicles, and guidance cones. These false-positive features resultinthemisrecognition ofa parking space because of the characteristics of AVM.Whena 3D object such as a parked vehicle is recognized by an AVM system, the shape of the vehicle is distorted and occupies a space in a parking area. When a false positive feature of the parking slot marker is detected from the parked vehicle, it is recognized as a no-parking space or an occupied space,even though it is an empty parking space.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1167 3. PROPOSED WORK The proposed system overcomes the problem by avoiding AVM cameras and we provide a separate parking area for online booking and offline parking. The proposed system avoids the slot markers and the use of the camera tomonitor the slot marker in car parking. It implements an automated gateway for the car park to avoid manpower and also displays the status of the availability of the parking space at the parking entrance. Here IR sensors are used to count the number of cars entering and leaving the car parking. Here IoT is used for the online booking process and microcontrollers are used for the offline process. 3.1 Block Diagram Figure: 1 represents the overall structure of the SCPS. The display is placed at the entrance to show the available parking space. An IR sensor 1 is placed at the entrance to count the entering cars. Once the IR sensor senses the incoming car then the signal is transmitted to the DC motor to open the gate. An IR sensor 2 is placed after the DC motor to count the exiting cars. Once the entire parking space is filled it will display No space and the gate will not open until the availability of space inside the parking area. Here we provide a separate parking area for online pre-booking methods. Fig-1: Overview of SCPS 3.2 Components Used To Develop SCPS Arduino Uno IR Sensor 16*2 LCD Display DC Motor 4. EXPERIMENT RESULTS The figures (2-8) show the real-time output of the SmartCar Parking System (SCPS). In this offline parking system the space is viewed by LCD at the entrance of the parking area and online parking system the web page shows the booked slot and empty slot in the car parking area. 4.1 Hardware Implementation Fig-2 Arduino Uno code Fig-3 Connection image Fig-4 Program dumping
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1168 Fig-5 Final Output 4.2 Software Implementation Fig-6 Signup Page Fig-7 Login Page Fig-8 Booking Page Fig-9 Booking Conformation Page 5. CONCLUSION In this paper, we have addressed the problemofparkingand presented a Smart Car Parking system. Drivers or private owners of vehicles could book a parking slot for them by checking the available slotsforparking.Driverstoday,prefer and demand smarter and quick services for hassle-free parking. Smart parking is, however, an inevitable service, especially in urban towns. The smart parking system in the paper is gradually moving towardsanimprovedservice with better time saving, cost saving, and increased revenues. In this method, we can avoid the use of several sensors for car detection. This method contains only two sensors at the entrance to count the entering and leaving of the car in the car parking. The automatic gateway avoids manpower. The display at the entrance shows the parking availability; thereby saving the search time.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 12 | Dec 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1169 REFERENCES [1] Buchanan, B. "Smart Parking Source Code." [Online]. Available: http://pushkin.faculty.unlv.edu//youtube_projects/Bucha nan.pdf. [Accessed: 01-Jul-2018]. [2] Deoghare, P. M. R. "Android-based Smart Parking System," Int. J. Innov. Res. Comput. Commun. Eng., vol. 3, no. 5, pp. 3981–3985, 2015. [3] Djahel, S. et al. A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches. IEEE Communications Surveys Tutorials, 17(1):125–151, First quarter 2015. [4] Frampton, C. Average driver spends nearly two days a year searching for parking. In https://www.admiral.com/magazine/news-and- currentaffairs/drivers-spend-fourty-four-hours-a-year- searching-for-a-parkingspace, July 2017. [5] Han, J. and Choi, J. "Parking space recognition for autonomous valet parking using height and salient-line probability maps," ETRI J., vol. 37, no. 6, pp. 1220–1230, 2015. [6] Huang, C. and Wang, S. "A Hierarchical Bayesian Generation Framework for VacantParkingSpaceDetection," IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 12, pp. 1770–1785, 2010. [7] Ichihashi, H, Katada, T, Fujiyoshi, M, Notsu, A.andHonda, K. "Improvement in the performance of camera-based vehicle detector for the parking lot," IEEE International Conference on Fuzzy Systems, pp.1-7, 18-23 July 2010. [8] INRIX. Searching for parking costs the UK £23.3 billion a year. In http://inrix.com/press-releases/parking-pain-uk/, July 2017. [9] Kianpisheh, A. Mustaffa, M. Limtrairut,P. and Keikhosrokiani,P. "Smart Parking System (SPS) architecture using the ultrasonic detector," Int. J. Softw. Eng. itsAppl.,vol. 6, no. 3, pp. 51–58, 2012. [10] Li, S. Member, IEEE, Ying- Chieh Yeh, Jyun Da Wu, Ming- Ying Hsiao, Member, IEEE, and Chih-Yang Chen- IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57, NO. 5, MAY 2010. [11] Mejri, N. et al. Reservation-based multi-objective smart parking approach for smart cities. In 2016 IEEE International Smart Cities Conference(ISC2),pages1–6,Sep. 2016. [12] Mellis, D. "ArduinoMega 2560," Arduino,2011.[Online]. Available: http://www.mantech.co.za/datasheets/products/a000047. pdf. [Accessed: 25-Apr-2018]. [13] Sadhukhan.P. An IoT-based e-parking system for smart cities. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 1062–1066, Sep. 2017. [14] Silar, J. et al. Smart parking in the smart city application. In 2018 Smart City Symposium Prague (SCSP), pages 1–5, May 2018. [15] Tee Chai Yong., "Smart Parking Syatem," Universiti Teknikal Malaysia Melaka, 2014. Yan, Y. et al. [16] Smart parking: A secure and intelligent parkingsystem. IEEE Intelligent Transportation SystemsMagazine,3(1):18– 30, Spring 2011. [17] Zahid Mahmood1, Ossama Haneef1, Nazeer Muhammad2 , Shahid Khattak1 IET Intell. Transp. 78-1- 4673-4853-9/13/$31.00 ©2013 IEEE.