How to efficiently tackle the problem of parking.

1. IoT Based Smart Car Parking
System using Raspberry Pi
PAPER ID :- 6125
Presented by :-
• Riddhesh Vora
• Aakanksha Singh
Under the guidance of Prof. Geetanjali Kale
K.C.College of Engineering & Management
Studies & Research.

2. EXISTING SCENARIO
 Currently, most of the existing car parking system are manually
managed and inefficient.
 In urban areas, where number of vehicles is higher as compared to
the availability of parking spaces, a lot of time being wasted in
searching for parking locations.
 People cannot find parking in popular places. Especially during the
holidays, traffic is always bad.
 People cannot locate their car in large parking lots.
 Difficulty finding parking spots.
 Maximize utilization space (concerts or other functions)

3. OBJECTIVE
 Providing a simple web application for parking vehicles.
 Booking for parking slot at home.
 Easy payment system.
 Parking owners can add their own parking places.
 Make easy to automate parking owners and customers.

5. BLOCK DIAGRAM

6. WORKING

7. WORKING

11. ADVANTAGES
 Users can get learn about parking areas for particular locations.
 It saves user time in search of parking space available in such
a long parking area.
 The system provides a graphical view of the parking spaces.
 User can pay online on the spot and confirm their space.
 It excludes the need of human efforts for managing parking
spaces.
 The system generates online bill for requested time and even
sends an email.
 Cost-effective.

12. LIMITATION
 It requires an internet connection.
 It requires large database.

13. APPLICATIONS
 The project can be implemented in commercial areas for
employee parking.
 The system can also be used in public places for public
parking like in shopping malls, station, and restaurant.

14. CONCLUSION
 As conclusion, the objective of online booking parking
system have been achieved.
 The difficulty of searching available parking lots has been
completely eliminated by reserving lots via the proposed
system.
 Users can get learn about parking areas for particular
locations.
 It saves user time in search of parking space available in such
a long parking area.

15. FUTURE SCOPE
 Navigation System
 In the further development of this android app plan
to make the app more advance by adding more
support and additional functions to the system

16. ACKNOWLEDGEMENT
It is a proud privilege and a matter of honour to offer our
sincere gratitude to IEEE Madras Section & SVS College of
Engineering for organizing ICCTCT 2018. This gave us the
platform for presenting our idea.
We thank our Project Guide (Prof. Geetanjali Kale), our
Principal and Head of Department who guided, supported and
helped us in the project.
Lastly, we also thank our family, friends and all those who have
motivated and helped us during the course of the project.

17. REFERENCES
Mohammed raheel Ahmed, T C Jermin Jeaunita, “IoT based cost efficient smart e - parking system”,
International Journal of Advanced Research in Electrical, Electronics and Instrumentation
Engineering, Vol. 5, Issue 11, November 2016. ISSN : 2278 - 8875.
Dr. A.Subramani, Dr. Vijender Kumar Solanki, Durga Devi, “Smart city: IOT based prototype for
Parking Monitoring and Management System Commanded by Mobile app”, RICE - 2017, Vol . 10,
ISSN : 2300 - 5963.
Hari Baabu V, Senthilkumar, G Pradipta Deband, Amritanshu Rai, “Smart Parking Assist System
using Internet of Thing (IoT)”, Intenational Journ al of Control Theory and Applications, Vol. 9,
2016. ISSN : 0974 - 5572
Zhanlin Ji, Ivan Gnachev, MairtinO’Droma, Li Zhaoand, XuejiZhang, “A Cloud - Based Car Parking
Middleware for IoT - Based Smart Cities: Design and Implementation”, 2014. DOI : 10
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Vishwanath Y, Aishwarya D Kuchalli, Debarupa Rakshit, “Survey paper on Smart Parking System
based on Internet of Things”, Information Science, New Horizaon College of Engineering, ISSN :
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Rishi Anand Abhirup Khanna, “ IoT based parking system”, Internet of Things and Application
(IOTA), International Conference, IEEE Xplore: 08, September 2016. ISBN : 978 - 1 - 5090 - 0044 -
9.
Than Nam Pham, Ming - Fong Tsai, DucBinh Nguyen, “A Cloud - Based Smart Parking System
Based on Inte rent of Things Technologies”, IEEE Access, 09 September 2015. ISSN : 2169 - 3536.
Vaibhav Hans, Parminder Singh Sethi, JatinKinra, “ An approach to IoT based car parking and
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18. https://www.billingsoftware.in
https://expressexpense.com
https://www.adafruit.com/product/597
https://expessexpense.com/parking - receipt.php
https://www.receipt - template.net/blank - parking - receipt
http://citeseerx.ist.psu.edu/viewdoc/download